Overview

Dataset statistics

Number of variables	72
Number of observations	45718
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.1 MiB
Average record size in memory	576.0 B

Variable types

Numeric	27
Categorical	45

Alerts

`AIIND102` is highly overall correlated with `COUTYP2` and 44 other fields	High correlation
`ANYHLTI2` is highly overall correlated with `HLCLAST` and 12 other fields	High correlation
`CAIDCHIP` is highly overall correlated with `GRPHLTIN` and 2 other fields	High correlation
`CHAMPUS` is highly overall correlated with `IICHMPUS`	High correlation
`COUTYP2` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`GOVTPROG` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`GRPHLTIN` is highly overall correlated with `CAIDCHIP` and 2 other fields	High correlation
`HLCALL99` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`HLCALLFG` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`HLCLAST` is highly overall correlated with `ANYHLTI2` and 6 other fields	High correlation
`HLCNOTMO` is highly overall correlated with `HLCNOTYR`	High correlation
`HLCNOTYR` is highly overall correlated with `ANYHLTI2` and 7 other fields	High correlation
`HLLOSRSN` is highly overall correlated with `ANYHLTI2` and 5 other fields	High correlation
`HLNVCOST` is highly overall correlated with `ANYHLTI2` and 4 other fields	High correlation
`HLNVNEED` is highly overall correlated with `ANYHLTI2` and 4 other fields	High correlation
`HLNVOFFR` is highly overall correlated with `ANYHLTI2` and 4 other fields	High correlation
`HLNVREF` is highly overall correlated with `ANYHLTI2` and 4 other fields	High correlation
`HLNVSOR` is highly overall correlated with `ANYHLTI2` and 4 other fields	High correlation
`HLTINNOS` is highly overall correlated with `ANYHLTI2` and 6 other fields	High correlation
`IFATHER` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IICHMPUS` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IIFAMIN3` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIFAMPMT` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIFAMSOC` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIFAMSSI` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIFAMSVC` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIFSTAMP` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIHH65_2` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIHHSIZ2` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IIINSUR4` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IIKI17_2` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIMCDCHP` is highly overall correlated with `AIIND102` and 46 other fields	High correlation
`IIMEDICR` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IIOTHHLT` is highly overall correlated with `AIIND102` and 48 other fields	High correlation
`IIPINC3` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IIPRVHLT` is highly overall correlated with `AIIND102` and 46 other fields	High correlation
`IIWELMOS` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IRCHMPUS` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IRFAMIN3` is highly overall correlated with `AIIND102` and 42 other fields	High correlation
`IRFAMPMT` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IRFAMSOC` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IRFAMSSI` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IRFAMSVC` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IRFSTAMP` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IRHH65_2` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IRHHSIZ2` is highly overall correlated with `AIIND102` and 41 other fields	High correlation
`IRINSUR4` is highly overall correlated with `AIIND102` and 48 other fields	High correlation
`IRKI17_2` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IRMCDCHP` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IRMEDICR` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`IROTHHLT` is highly overall correlated with `AIIND102` and 48 other fields	High correlation
`IRPINC3` is highly overall correlated with `AIIND102` and 41 other fields	High correlation
`IRPRVHLT` is highly overall correlated with `AIIND102` and 45 other fields	High correlation
`IRWELMOS` is highly overall correlated with `IIWELMOS` and 1 other fields	High correlation
`MAIIN102` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`MEDICARE` is highly overall correlated with `IIMEDICR`	High correlation
`NRCH17_2` is highly overall correlated with `IIHHSIZ2` and 1 other fields	High correlation
`OTHINS` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`PDEN10` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`POVERTY3` is highly overall correlated with `IRFAMIN3`	High correlation
`PRVHLTIN` is highly overall correlated with `CAIDCHIP` and 2 other fields	High correlation
`PRXYDATA` is highly overall correlated with `IFATHER`	High correlation
`TOOLONG` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`TROUBUND` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`VEREP` is highly overall correlated with `AIIND102` and 44 other fields	High correlation
`VESTR` is highly overall correlated with `AIIND102` and 41 other fields	High correlation
`IFATHER` is highly imbalanced (57.0%)	Imbalance
`IIHHSIZ2` is highly imbalanced (99.3%)	Imbalance
`IIKI17_2` is highly imbalanced (97.7%)	Imbalance
`IRHH65_2` is highly imbalanced (67.7%)	Imbalance
`IIHH65_2` is highly imbalanced (97.2%)	Imbalance
`IRMCDCHP` is highly imbalanced (51.2%)	Imbalance
`IIMCDCHP` is highly imbalanced (95.0%)	Imbalance
`IRMEDICR` is highly imbalanced (73.9%)	Imbalance
`IIMEDICR` is highly imbalanced (97.1%)	Imbalance
`IRCHMPUS` is highly imbalanced (85.2%)	Imbalance
`IICHMPUS` is highly imbalanced (98.2%)	Imbalance
`IIPRVHLT` is highly imbalanced (96.1%)	Imbalance
`IROTHHLT` is highly imbalanced (65.9%)	Imbalance
`IIOTHHLT` is highly imbalanced (68.0%)	Imbalance
`HLCALLFG` is highly imbalanced (99.8%)	Imbalance
`HLCALL99` is highly imbalanced (99.8%)	Imbalance
`IRINSUR4` is highly imbalanced (69.6%)	Imbalance
`IIINSUR4` is highly imbalanced (95.2%)	Imbalance
`OTHINS` is highly imbalanced (62.3%)	Imbalance
`IRFAMSOC` is highly imbalanced (59.6%)	Imbalance
`IIFAMSOC` is highly imbalanced (95.1%)	Imbalance
`IRFAMSSI` is highly imbalanced (77.3%)	Imbalance
`IIFAMSSI` is highly imbalanced (95.1%)	Imbalance
`IRFSTAMP` is highly imbalanced (54.4%)	Imbalance
`IIFSTAMP` is highly imbalanced (97.1%)	Imbalance
`IRFAMPMT` is highly imbalanced (88.8%)	Imbalance
`IIFAMPMT` is highly imbalanced (96.0%)	Imbalance
`IRFAMSVC` is highly imbalanced (85.8%)	Imbalance
`IIFAMSVC` is highly imbalanced (96.8%)	Imbalance
`IIWELMOS` is highly imbalanced (81.2%)	Imbalance
`IIPINC3` is highly imbalanced (87.5%)	Imbalance
`IIFAMIN3` is highly imbalanced (71.0%)	Imbalance
`GOVTPROG` is highly imbalanced (50.1%)	Imbalance
`TOOLONG` is highly imbalanced (79.8%)	Imbalance
`TROUBUND` is highly imbalanced (82.8%)	Imbalance
`MAIIN102` is highly imbalanced (90.7%)	Imbalance
`AIIND102` is highly imbalanced (90.6%)	Imbalance
`Criminal` is highly imbalanced (63.6%)	Imbalance
`CELLNOTCL` is highly skewed (γ1 = 22.78471443)	Skewed
`CELLWRKNG` is highly skewed (γ1 = 27.76120671)	Skewed
`VESTR` is highly skewed (γ1 = -150.4973134)	Skewed
`PERID` has unique values	Unique

Reproduction

Analysis started	2026-02-16 00:24:18.371560
Analysis finished	2026-02-16 00:26:07.231504
Duration	1 minute and 48.86 seconds
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

PERID
Real number (ℝ)

Unique

Distinct	45718
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54454464

Minimum	10002216
Maximum	99999555
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	357.3 KiB

Quantile statistics

Minimum	10002216
5-th percentile	14646483
Q1	32331888
median	54110427
Q3	76127308
95-th percentile	94806844
Maximum	99999555
Range	89997339
Interquartile range (IQR)	43795420

Descriptive statistics

Standard deviation	25539108
Coefficient of variation (CV)	0.46899934
Kurtosis	-1.1753423
Mean	54454464
Median Absolute Deviation (MAD)	21906778
Skewness	0.0080238984
Sum	2.4895492 × 10¹²
Variance	6.5224602 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25095143	1	< 0.1%
13005143	1	< 0.1%
67415143	1	< 0.1%
70925143	1	< 0.1%
75235143	1	< 0.1%
47745143	1	< 0.1%
33145143	1	< 0.1%
63765143	1	< 0.1%
57796143	1	< 0.1%
66416143	1	< 0.1%
Other values (45708)	45708	> 99.9%

Value	Count	Frequency (%)
10002216	1	< 0.1%
10002947	1	< 0.1%
10004088	1	< 0.1%
10004437	1	< 0.1%
10010245	1	< 0.1%
10011838	1	< 0.1%
10014385	1	< 0.1%
10018835	1	< 0.1%
10020343	1	< 0.1%
10023836	1	< 0.1%

Value	Count	Frequency (%)
99999555	1	< 0.1%
99996278	1	< 0.1%
99994948	1	< 0.1%
99994524	1	< 0.1%
99992204	1	< 0.1%
99989277	1	< 0.1%
99988758	1	< 0.1%
99981993	1	< 0.1%
99979344	1	< 0.1%
99978269	1	< 0.1%

IFATHER
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

4	34873
1	7780
2	3050
3	13
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
4	34873	76.3%
1	7780	17.0%
2	3050	6.7%
3	13	< 0.1%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	34873	76.3%
1	7782	17.0%
2	3050	6.7%
3	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
4	34873	76.3%
1	7782	17.0%
2	3050	6.7%
3	13	< 0.1%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	34873	76.3%
1	7782	17.0%
2	3050	6.7%
3	13	< 0.1%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	34873	76.3%
1	7782	17.0%
2	3050	6.7%
3	13	< 0.1%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	34873	76.3%
1	7782	17.0%
2	3050	6.7%
3	13	< 0.1%
-	2	< 0.1%

NRCH17_2
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

0	33475
1	4999
2	4611
3	2549
-1	84

Length

Max length	2
Median length	1
Mean length	1.0018374
Min length	1

Characters and Unicode

Total characters	45802
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	33475	73.2%
1	4999	10.9%
2	4611	10.1%
3	2549	5.6%
-1	84	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	33475	73.2%
1	5083	11.1%
2	4611	10.1%
3	2549	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	33475	73.1%
1	5083	11.1%
2	4611	10.1%
3	2549	5.6%
-	84	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45802	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	33475	73.1%
1	5083	11.1%
2	4611	10.1%
3	2549	5.6%
-	84	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45802	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	33475	73.1%
1	5083	11.1%
2	4611	10.1%
3	2549	5.6%
-	84	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45802	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	33475	73.1%
1	5083	11.1%
2	4611	10.1%
3	2549	5.6%
-	84	0.2%

IRHHSIZ2
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4263747

Minimum	-1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	6
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4274201
Coefficient of variation (CV)	0.41659779
Kurtosis	-0.84975603
Mean	3.4263747
Median Absolute Deviation (MAD)	1
Skewness	0.16281285
Sum	156647
Variance	2.0375282
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
4	10933	23.9%
2	10258	22.4%
3	10173	22.3%
5	6175	13.5%
6	4566	10.0%
1	3611	7.9%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	3611	7.9%
2	10258	22.4%
3	10173	22.3%
4	10933	23.9%
5	6175	13.5%
6	4566	10.0%

Value	Count	Frequency (%)
6	4566	10.0%
5	6175	13.5%
4	10933	23.9%
3	10173	22.3%
2	10258	22.4%
1	3611	7.9%
-1	2	< 0.1%

IIHHSIZ2
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45675
3	41
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45675	99.9%
3	41	0.1%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45677	99.9%
3	41	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	45677	99.9%
3	41	0.1%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45677	99.9%
3	41	0.1%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45677	99.9%
3	41	0.1%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45677	99.9%
3	41	0.1%
-	2	< 0.1%

IRKI17_2
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	19258
2	10126
3	9554
4	6778
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	1
5th row	4

Common Values

Value	Count	Frequency (%)
1	19258	42.1%
2	10126	22.1%
3	9554	20.9%
4	6778	14.8%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	19260	42.1%
2	10126	22.1%
3	9554	20.9%
4	6778	14.8%

Most occurring characters

Value	Count	Frequency (%)
1	19260	42.1%
2	10126	22.1%
3	9554	20.9%
4	6778	14.8%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	19260	42.1%
2	10126	22.1%
3	9554	20.9%
4	6778	14.8%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	19260	42.1%
2	10126	22.1%
3	9554	20.9%
4	6778	14.8%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	19260	42.1%
2	10126	22.1%
3	9554	20.9%
4	6778	14.8%
-	2	< 0.1%

IIKI17_2
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45544
3	172
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45544	99.6%
3	172	0.4%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45546	99.6%
3	172	0.4%

Most occurring characters

Value	Count	Frequency (%)
1	45546	99.6%
3	172	0.4%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45546	99.6%
3	172	0.4%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45546	99.6%
3	172	0.4%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45546	99.6%
3	172	0.4%
-	2	< 0.1%

IRHH65_2
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	40188
2	3618
3	1910
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	40188	87.9%
2	3618	7.9%
3	1910	4.2%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	40190	87.9%
2	3618	7.9%
3	1910	4.2%

Most occurring characters

Value	Count	Frequency (%)
1	40190	87.9%
2	3618	7.9%
3	1910	4.2%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	40190	87.9%
2	3618	7.9%
3	1910	4.2%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	40190	87.9%
2	3618	7.9%
3	1910	4.2%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	40190	87.9%
2	3618	7.9%
3	1910	4.2%
-	2	< 0.1%

IIHH65_2
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45443
3	235
2	38
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45443	99.4%
3	235	0.5%
2	38	0.1%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45445	99.4%
3	235	0.5%
2	38	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	45445	99.4%
3	235	0.5%
2	38	0.1%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45445	99.4%
3	235	0.5%
2	38	0.1%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45445	99.4%
3	235	0.5%
2	38	0.1%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45445	99.4%
3	235	0.5%
2	38	0.1%
-	2	< 0.1%

PRXRETRY
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	97.394943

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	99
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12.355156
Coefficient of variation (CV)	0.12685624
Kurtosis	55.642376
Mean	97.394943
Median Absolute Deviation (MAD)	0
Skewness	-7.5916092
Sum	4452702
Variance	152.64989
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
99	44865	98.1%
2	752	1.6%
98	61	0.1%
94	33	0.1%
97	5	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
2	752	1.6%
94	33	0.1%
97	5	< 0.1%
98	61	0.1%
99	44865	98.1%

Value	Count	Frequency (%)
99	44865	98.1%
98	61	0.1%
97	5	< 0.1%
94	33	0.1%
2	752	1.6%
-1	2	< 0.1%

PRXYDATA
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.874098

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	98

Descriptive statistics

Standard deviation	44.325675
Coefficient of variation (CV)	0.62541431
Kurtosis	-1.112696
Mean	70.874098
Median Absolute Deviation (MAD)	0
Skewness	-0.9419692
Sum	3240222
Variance	1964.7655
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
99	32502	71.1%
1	13079	28.6%
98	61	0.1%
2	38	0.1%
94	33	0.1%
97	3	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	13079	28.6%
2	38	0.1%
94	33	0.1%
97	3	< 0.1%
98	61	0.1%
99	32502	71.1%

Value	Count	Frequency (%)
99	32502	71.1%
98	61	0.1%
97	3	< 0.1%
94	33	0.1%
2	38	0.1%
1	13079	28.6%
-1	2	< 0.1%

MEDICARE
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3714511

Minimum	-1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	2
Maximum	98
Range	99
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6.4899215
Coefficient of variation (CV)	2.7366879
Kurtosis	198.76134
Mean	2.3714511
Median Absolute Deviation (MAD)	0
Skewness	14.152206
Sum	108418
Variance	42.119081
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	41703	91.2%
1	3789	8.3%
94	159	0.3%
97	39	0.1%
98	22	< 0.1%
85	4	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	3789	8.3%
2	41703	91.2%
85	4	< 0.1%
94	159	0.3%
97	39	0.1%
98	22	< 0.1%

Value	Count	Frequency (%)
98	22	< 0.1%
97	39	0.1%
94	159	0.3%
85	4	< 0.1%
2	41703	91.2%
1	3789	8.3%
-1	2	< 0.1%

CAIDCHIP
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6520845

Minimum	-1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	2
Maximum	98
Range	99
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.9482867
Coefficient of variation (CV)	3.3740579
Kurtosis	99.464657
Mean	2.6520845
Median Absolute Deviation (MAD)	0
Skewness	10.055259
Sum	121248
Variance	80.071834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	35030	76.6%
1	10248	22.4%
94	318	0.7%
85	51	0.1%
97	47	0.1%
98	22	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	10248	22.4%
2	35030	76.6%
85	51	0.1%
94	318	0.7%
97	47	0.1%
98	22	< 0.1%

Value	Count	Frequency (%)
98	22	< 0.1%
97	47	0.1%
94	318	0.7%
85	51	0.1%
2	35030	76.6%
1	10248	22.4%
-1	2	< 0.1%

CHAMPUS
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2244849

Minimum	-1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	2
Q1	2
median	2
Q3	2
95-th percentile	2
Maximum	98
Range	99
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4.9447836
Coefficient of variation (CV)	2.2228893
Kurtosis	349.3296
Mean	2.2244849
Median Absolute Deviation (MAD)	0
Skewness	18.7227
Sum	101699
Variance	24.450885
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	43849	95.9%
1	1738	3.8%
94	74	0.2%
97	29	0.1%
98	22	< 0.1%
85	4	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	1738	3.8%
2	43849	95.9%
85	4	< 0.1%
94	74	0.2%
97	29	0.1%
98	22	< 0.1%

Value	Count	Frequency (%)
98	22	< 0.1%
97	29	0.1%
94	74	0.2%
85	4	< 0.1%
2	43849	95.9%
1	1738	3.8%
-1	2	< 0.1%

PRVHLTIN
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.0431996

Minimum	-1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	2
Maximum	98
Range	99
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	7.8093516
Coefficient of variation (CV)	3.8221188
Kurtosis	136.11438
Mean	2.0431996
Median Absolute Deviation (MAD)	0
Skewness	11.726661
Sum	93411
Variance	60.985972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	27827	60.9%
2	17567	38.4%
94	252	0.6%
97	44	0.1%
98	22	< 0.1%
85	4	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	27827	60.9%
2	17567	38.4%
85	4	< 0.1%
94	252	0.6%
97	44	0.1%
98	22	< 0.1%

Value	Count	Frequency (%)
98	22	< 0.1%
97	44	0.1%
94	252	0.6%
85	4	< 0.1%
2	17567	38.4%
1	27827	60.9%
-1	2	< 0.1%

GRPHLTIN
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.55208

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	1
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	98

Descriptive statistics

Standard deviation	47.786379
Coefficient of variation (CV)	1.2081888
Kurtosis	-1.8072951
Mean	39.55208
Median Absolute Deviation (MAD)	0
Skewness	0.43883274
Sum	1808242
Variance	2283.538
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	24551	53.7%
99	17567	38.4%
2	3205	7.0%
98	275	0.6%
94	70	0.2%
97	45	0.1%
85	3	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	24551	53.7%
2	3205	7.0%
85	3	< 0.1%
94	70	0.2%
97	45	0.1%
98	275	0.6%
99	17567	38.4%

Value	Count	Frequency (%)
99	17567	38.4%
98	275	0.6%
97	45	0.1%
94	70	0.2%
85	3	< 0.1%
2	3205	7.0%
1	24551	53.7%
-1	2	< 0.1%

HLTINNOS
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.073953

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	2
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	33.00842
Coefficient of variation (CV)	0.38348906
Kurtosis	2.6785495
Mean	86.073953
Median Absolute Deviation (MAD)	0
Skewness	-2.1629015
Sum	3935129
Variance	1089.5558
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
99	39592	86.6%
2	4643	10.2%
1	1431	3.1%
94	22	< 0.1%
98	22	< 0.1%
97	6	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	1431	3.1%
2	4643	10.2%
94	22	< 0.1%
97	6	< 0.1%
98	22	< 0.1%
99	39592	86.6%

Value	Count	Frequency (%)
99	39592	86.6%
98	22	< 0.1%
97	6	< 0.1%
94	22	< 0.1%
2	4643	10.2%
1	1431	3.1%
-1	2	< 0.1%

HLCNOTYR
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.847806

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	30.646313
Coefficient of variation (CV)	2.3853343
Kurtosis	3.9932483
Mean	12.847806
Median Absolute Deviation (MAD)	0
Skewness	2.4476725
Sum	587376
Variance	939.19647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	37287	81.6%
99	4643	10.2%
1	3270	7.2%
98	347	0.8%
94	90	0.2%
97	58	0.1%
85	21	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	3270	7.2%
2	37287	81.6%
85	21	< 0.1%
94	90	0.2%
97	58	0.1%
98	347	0.8%
99	4643	10.2%

Value	Count	Frequency (%)
99	4643	10.2%
98	347	0.8%
97	58	0.1%
94	90	0.2%
85	21	< 0.1%
2	37287	81.6%
1	3270	7.2%
-1	2	< 0.1%

HLCNOTMO
Real number (ℝ)

High correlation

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	92.27289

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	6
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	24.257115
Coefficient of variation (CV)	0.26288453
Kurtosis	9.1950425
Mean	92.27289
Median Absolute Deviation (MAD)	0
Skewness	-3.3427554
Sum	4218532
Variance	588.40763
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
99	41930	91.7%
1	644	1.4%
2	479	1.0%
98	456	1.0%
3	448	1.0%
6	355	0.8%
4	266	0.6%
5	210	0.5%
8	173	0.4%
12	159	0.3%
Other values (8)	598	1.3%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	644	1.4%
2	479	1.0%
3	448	1.0%
4	266	0.6%
5	210	0.5%
6	355	0.8%
7	98	0.2%
8	173	0.4%
9	145	0.3%

Value	Count	Frequency (%)
99	41930	91.7%
98	456	1.0%
97	59	0.1%
94	16	< 0.1%
85	2	< 0.1%
12	159	0.3%
11	146	0.3%
10	130	0.3%
9	145	0.3%
8	173	0.4%

HLCLAST
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.323352

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	3
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	28.853064
Coefficient of variation (CV)	0.32301815
Kurtosis	5.0381488
Mean	89.323352
Median Absolute Deviation (MAD)	0
Skewness	-2.6523492
Sum	4083685
Variance	832.49931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
99	40649	88.9%
4	1315	2.9%
3	958	2.1%
5	904	2.0%
1	872	1.9%
2	559	1.2%
98	368	0.8%
97	58	0.1%
94	33	0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	872	1.9%
2	559	1.2%
3	958	2.1%
4	1315	2.9%
5	904	2.0%
94	33	0.1%
97	58	0.1%
98	368	0.8%
99	40649	88.9%

Value	Count	Frequency (%)
99	40649	88.9%
98	368	0.8%
97	58	0.1%
94	33	0.1%
5	904	2.0%
4	1315	2.9%
3	958	2.1%
2	559	1.2%
1	872	1.9%
-1	2	< 0.1%

HLLOSRSN
Real number (ℝ)

High correlation

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91.31819

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	4
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	25.805476
Coefficient of variation (CV)	0.28258857
Kurtosis	7.459764
Mean	91.31819
Median Absolute Deviation (MAD)	0
Skewness	-3.072914
Sum	4174885
Variance	665.92262
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
99	41553	90.9%
4	972	2.1%
1	755	1.7%
5	397	0.9%
98	368	0.8%
3	342	0.7%
2	305	0.7%
6	245	0.5%
12	224	0.5%
10	174	0.4%
Other values (8)	383	0.8%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	755	1.7%
2	305	0.7%
3	342	0.7%
4	972	2.1%
5	397	0.9%
6	245	0.5%
7	63	0.1%
8	21	< 0.1%
9	51	0.1%

Value	Count	Frequency (%)
99	41553	90.9%
98	368	0.8%
97	62	0.1%
94	20	< 0.1%
85	2	< 0.1%
12	224	0.5%
11	162	0.4%
10	174	0.4%
9	51	0.1%
8	21	< 0.1%

HLNVCOST
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	97.102432

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	99
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	13.293939
Coefficient of variation (CV)	0.13690634
Kurtosis	45.786839
Mean	97.102432
Median Absolute Deviation (MAD)	0
Skewness	-6.9097423
Sum	4439329
Variance	176.72882
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
99	44378	97.1%
1	451	1.0%
6	450	1.0%
98	378	0.8%
97	56	0.1%
94	3	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	451	1.0%
6	450	1.0%
94	3	< 0.1%
97	56	0.1%
98	378	0.8%
99	44378	97.1%

Value	Count	Frequency (%)
99	44378	97.1%
98	378	0.8%
97	56	0.1%
94	3	< 0.1%
6	450	1.0%
1	451	1.0%
-1	2	< 0.1%

HLNVOFFR
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	97.136883

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	99
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	13.04907
Coefficient of variation (CV)	0.13433692
Kurtosis	45.725148
Mean	97.136883
Median Absolute Deviation (MAD)	0
Skewness	-6.9063528
Sum	4440904
Variance	170.27822
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
99	44378	97.1%
6	765	1.7%
98	378	0.8%
1	136	0.3%
97	56	0.1%
94	3	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	136	0.3%
6	765	1.7%
94	3	< 0.1%
97	56	0.1%
98	378	0.8%
99	44378	97.1%

Value	Count	Frequency (%)
99	44378	97.1%
98	378	0.8%
97	56	0.1%
94	3	< 0.1%
6	765	1.7%
1	136	0.3%
-1	2	< 0.1%

HLNVREF
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	97.148804

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	99
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12.963239
Coefficient of variation (CV)	0.13343694
Kurtosis	45.666378
Mean	97.148804
Median Absolute Deviation (MAD)	0
Skewness	-6.9032208
Sum	4441449
Variance	168.04556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
99	44378	97.1%
6	874	1.9%
98	378	0.8%
97	56	0.1%
1	27	0.1%
94	3	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	27	0.1%
6	874	1.9%
94	3	< 0.1%
97	56	0.1%
98	378	0.8%
99	44378	97.1%

Value	Count	Frequency (%)
99	44378	97.1%
98	378	0.8%
97	56	0.1%
94	3	< 0.1%
6	874	1.9%
1	27	0.1%
-1	2	< 0.1%

HLNVNEED
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	97.132071

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	99
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	13.083555
Coefficient of variation (CV)	0.13469861
Kurtosis	45.743073
Mean	97.132071
Median Absolute Deviation (MAD)	0
Skewness	-6.9073166
Sum	4440684
Variance	171.1794
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
99	44378	97.1%
6	721	1.6%
98	378	0.8%
1	180	0.4%
97	56	0.1%
94	3	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	180	0.4%
6	721	1.6%
94	3	< 0.1%
97	56	0.1%
98	378	0.8%
99	44378	97.1%

Value	Count	Frequency (%)
99	44378	97.1%
98	378	0.8%
97	56	0.1%
94	3	< 0.1%
6	721	1.6%
1	180	0.4%
-1	2	< 0.1%

HLNVSOR
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	97.137211

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	99
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	13.046715
Coefficient of variation (CV)	0.13431223
Kurtosis	45.723807
Mean	97.137211
Median Absolute Deviation (MAD)	0
Skewness	-6.906281
Sum	4440919
Variance	170.21677
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
99	44378	97.1%
6	768	1.7%
98	378	0.8%
1	133	0.3%
97	56	0.1%
94	3	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	133	0.3%
6	768	1.7%
94	3	< 0.1%
97	56	0.1%
98	378	0.8%
99	44378	97.1%

Value	Count	Frequency (%)
99	44378	97.1%
98	378	0.8%
97	56	0.1%
94	3	< 0.1%
6	768	1.7%
1	133	0.3%
-1	2	< 0.1%

IRMCDCHP
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	35320
1	10396
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	35320	77.3%
1	10396	22.7%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	35320	77.3%
1	10398	22.7%

Most occurring characters

Value	Count	Frequency (%)
2	35320	77.3%
1	10398	22.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	35320	77.3%
1	10398	22.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	35320	77.3%
1	10398	22.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	35320	77.3%
1	10398	22.7%
-	2	< 0.1%

IIMCDCHP
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45278
3	438
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45278	99.0%
3	438	1.0%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45280	99.0%
3	438	1.0%

Most occurring characters

Value	Count	Frequency (%)
1	45280	99.0%
3	438	1.0%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45280	99.0%
3	438	1.0%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45280	99.0%
3	438	1.0%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45280	99.0%
3	438	1.0%
-	2	< 0.1%

IRMEDICR
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	41915
1	3801
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	41915	91.7%
1	3801	8.3%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	41915	91.7%
1	3803	8.3%

Most occurring characters

Value	Count	Frequency (%)
2	41915	91.7%
1	3803	8.3%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	41915	91.7%
1	3803	8.3%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	41915	91.7%
1	3803	8.3%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	41915	91.7%
1	3803	8.3%
-	2	< 0.1%

IIMEDICR
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45492
3	224
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45492	99.5%
3	224	0.5%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45494	99.5%
3	224	0.5%

Most occurring characters

Value	Count	Frequency (%)
1	45494	99.5%
3	224	0.5%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45494	99.5%
3	224	0.5%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45494	99.5%
3	224	0.5%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45494	99.5%
3	224	0.5%
-	2	< 0.1%

IRCHMPUS
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	43975
1	1741
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	43975	96.2%
1	1741	3.8%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	43975	96.2%
1	1743	3.8%

Most occurring characters

Value	Count	Frequency (%)
2	43975	96.2%
1	1743	3.8%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	43975	96.2%
1	1743	3.8%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	43975	96.2%
1	1743	3.8%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	43975	96.2%
1	1743	3.8%
-	2	< 0.1%

IICHMPUS
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45587
3	129
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45587	99.7%
3	129	0.3%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45589	99.7%
3	129	0.3%

Most occurring characters

Value	Count	Frequency (%)
1	45589	99.7%
3	129	0.3%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45589	99.7%
3	129	0.3%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45589	99.7%
3	129	0.3%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45589	99.7%
3	129	0.3%
-	2	< 0.1%

IRPRVHLT
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	27998
2	17718
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	27998	61.2%
2	17718	38.8%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	28000	61.2%
2	17718	38.8%

Most occurring characters

Value	Count	Frequency (%)
1	28000	61.2%
2	17718	38.8%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	28000	61.2%
2	17718	38.8%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	28000	61.2%
2	17718	38.8%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	28000	61.2%
2	17718	38.8%
-	2	< 0.1%

IIPRVHLT
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45394
3	322
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45394	99.3%
3	322	0.7%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45396	99.3%
3	322	0.7%

Most occurring characters

Value	Count	Frequency (%)
1	45396	99.3%
3	322	0.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45396	99.3%
3	322	0.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45396	99.3%
3	322	0.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45396	99.3%
3	322	0.7%
-	2	< 0.1%

IROTHHLT
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

99	39493
2	4755
1	1468
-1	2

Length

Max length	2
Median length	2
Mean length	1.8638829
Min length	1

Characters and Unicode

Total characters	85213
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	99
2nd row	99
3rd row	99
4th row	99
5th row	99

Common Values

Value	Count	Frequency (%)
99	39493	86.4%
2	4755	10.4%
1	1468	3.2%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
99	39493	86.4%
2	4755	10.4%
1	1470	3.2%

Most occurring characters

Value	Count	Frequency (%)
9	78986	92.7%
2	4755	5.6%
1	1470	1.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	85213	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	78986	92.7%
2	4755	5.6%
1	1470	1.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	85213	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	78986	92.7%
2	4755	5.6%
1	1470	1.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	85213	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	78986	92.7%
2	4755	5.6%
1	1470	1.7%
-	2	< 0.1%

IIOTHHLT
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

9	39218
1	6074
3	424
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9
2nd row	9
3rd row	9
4th row	9
5th row	9

Common Values

Value	Count	Frequency (%)
9	39218	85.8%
1	6074	13.3%
3	424	0.9%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
9	39218	85.8%
1	6076	13.3%
3	424	0.9%

Most occurring characters

Value	Count	Frequency (%)
9	39218	85.8%
1	6076	13.3%
3	424	0.9%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	39218	85.8%
1	6076	13.3%
3	424	0.9%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	39218	85.8%
1	6076	13.3%
3	424	0.9%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	39218	85.8%
1	6076	13.3%
3	424	0.9%
-	2	< 0.1%

HLCALLFG
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

98	45707
1	9
-1	2

Length

Max length	2
Median length	2
Mean length	1.9998031
Min length	1

Characters and Unicode

Total characters	91427
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	98
2nd row	98
3rd row	98
4th row	98
5th row	98

Common Values

Value	Count	Frequency (%)
98	45707	> 99.9%
1	9	< 0.1%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
98	45707	> 99.9%
1	11	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
9	45707	50.0%
8	45707	50.0%
1	11	< 0.1%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	91427	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	45707	50.0%
8	45707	50.0%
1	11	< 0.1%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	91427	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	45707	50.0%
8	45707	50.0%
1	11	< 0.1%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	91427	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	45707	50.0%
8	45707	50.0%
1	11	< 0.1%
-	2	< 0.1%

HLCALL99
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

98	45707
1	9
-1	2

Length

Max length	2
Median length	2
Mean length	1.9998031
Min length	1

Characters and Unicode

Total characters	91427
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	98
2nd row	98
3rd row	98
4th row	98
5th row	98

Common Values

Value	Count	Frequency (%)
98	45707	> 99.9%
1	9	< 0.1%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
98	45707	> 99.9%
1	11	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
9	45707	50.0%
8	45707	50.0%
1	11	< 0.1%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	91427	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	45707	50.0%
8	45707	50.0%
1	11	< 0.1%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	91427	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	45707	50.0%
8	45707	50.0%
1	11	< 0.1%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	91427	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	45707	50.0%
8	45707	50.0%
1	11	< 0.1%
-	2	< 0.1%

ANYHLTI2
Real number (ℝ)

High correlation

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9714992

Minimum	-1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	98
Range	99
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.9888045
Coefficient of variation (CV)	4.5593752
Kurtosis	102.71719
Mean	1.9714992
Median Absolute Deviation (MAD)	0
Skewness	10.225625
Sum	90133
Variance	80.798606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	40649	88.9%
2	4643	10.2%
94	324	0.7%
97	56	0.1%
98	44	0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	40649	88.9%
2	4643	10.2%
94	324	0.7%
97	56	0.1%
98	44	0.1%

Value	Count	Frequency (%)
98	44	0.1%
97	56	0.1%
94	324	0.7%
2	4643	10.2%
1	40649	88.9%
-1	2	< 0.1%

IRINSUR4
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	40961
2	4755
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	40961	89.6%
2	4755	10.4%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	40963	89.6%
2	4755	10.4%

Most occurring characters

Value	Count	Frequency (%)
1	40963	89.6%
2	4755	10.4%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	40963	89.6%
2	4755	10.4%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	40963	89.6%
2	4755	10.4%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	40963	89.6%
2	4755	10.4%
-	2	< 0.1%

IIINSUR4
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45292
3	424
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45292	99.1%
3	424	0.9%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45294	99.1%
3	424	0.9%

Most occurring characters

Value	Count	Frequency (%)
1	45294	99.1%
3	424	0.9%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45294	99.1%
3	424	0.9%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45294	99.1%
3	424	0.9%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45294	99.1%
3	424	0.9%
-	2	< 0.1%

OTHINS
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	39095
1	6621
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	39095	85.5%
1	6621	14.5%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	39095	85.5%
1	6623	14.5%

Most occurring characters

Value	Count	Frequency (%)
2	39095	85.5%
1	6623	14.5%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	39095	85.5%
1	6623	14.5%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	39095	85.5%
1	6623	14.5%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	39095	85.5%
1	6623	14.5%
-	2	< 0.1%

CELLNOTCL
Real number (ℝ)

Skewed

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7411742

Minimum	-1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	2
Maximum	98
Range	99
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	4.0714422
Coefficient of variation (CV)	2.3383314
Kurtosis	525.53286
Mean	1.7411742
Median Absolute Deviation (MAD)	0
Skewness	22.784714
Sum	79603
Variance	16.576641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	25919	56.7%
1	19713	43.1%
97	33	0.1%
98	26	0.1%
94	20	< 0.1%
85	5	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	19713	43.1%
2	25919	56.7%
85	5	< 0.1%
94	20	< 0.1%
97	33	0.1%
98	26	0.1%

Value	Count	Frequency (%)
98	26	0.1%
97	33	0.1%
94	20	< 0.1%
85	5	< 0.1%
2	25919	56.7%
1	19713	43.1%
-1	2	< 0.1%

CELLWRKNG
Real number (ℝ)

Skewed

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1448226

Minimum	-1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	98
Range	99
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.4214765
Coefficient of variation (CV)	2.9886521
Kurtosis	771.01767
Mean	1.1448226
Median Absolute Deviation (MAD)	0
Skewness	27.761207
Sum	52339
Variance	11.706502
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	44647	97.7%
2	1010	2.2%
98	26	0.1%
97	23	0.1%
94	5	< 0.1%
85	5	< 0.1%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	44647	97.7%
2	1010	2.2%
85	5	< 0.1%
94	5	< 0.1%
97	23	0.1%
98	26	0.1%

Value	Count	Frequency (%)
98	26	0.1%
97	23	0.1%
94	5	< 0.1%
85	5	< 0.1%
2	1010	2.2%
1	44647	97.7%
-1	2	< 0.1%

IRFAMSOC
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	38313
1	7403
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	38313	83.8%
1	7403	16.2%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	38313	83.8%
1	7405	16.2%

Most occurring characters

Value	Count	Frequency (%)
2	38313	83.8%
1	7405	16.2%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	38313	83.8%
1	7405	16.2%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	38313	83.8%
1	7405	16.2%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	38313	83.8%
1	7405	16.2%
-	2	< 0.1%

IIFAMSOC
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45285
3	431
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45285	99.1%
3	431	0.9%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45287	99.1%
3	431	0.9%

Most occurring characters

Value	Count	Frequency (%)
1	45287	99.1%
3	431	0.9%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45287	99.1%
3	431	0.9%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45287	99.1%
3	431	0.9%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45287	99.1%
3	431	0.9%
-	2	< 0.1%

IRFAMSSI
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	42595
1	3121
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	42595	93.2%
1	3121	6.8%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	42595	93.2%
1	3123	6.8%

Most occurring characters

Value	Count	Frequency (%)
2	42595	93.2%
1	3123	6.8%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	42595	93.2%
1	3123	6.8%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	42595	93.2%
1	3123	6.8%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	42595	93.2%
1	3123	6.8%
-	2	< 0.1%

IIFAMSSI
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45282
3	434
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45282	99.0%
3	434	0.9%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45284	99.1%
3	434	0.9%

Most occurring characters

Value	Count	Frequency (%)
1	45284	99.0%
3	434	0.9%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45284	99.0%
3	434	0.9%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45284	99.0%
3	434	0.9%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45284	99.0%
3	434	0.9%
-	2	< 0.1%

IRFSTAMP
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	36580
1	9136
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	36580	80.0%
1	9136	20.0%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	36580	80.0%
1	9138	20.0%

Most occurring characters

Value	Count	Frequency (%)
2	36580	80.0%
1	9138	20.0%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	36580	80.0%
1	9138	20.0%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	36580	80.0%
1	9138	20.0%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	36580	80.0%
1	9138	20.0%
-	2	< 0.1%

IIFSTAMP
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45487
3	229
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45487	99.5%
3	229	0.5%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45489	99.5%
3	229	0.5%

Most occurring characters

Value	Count	Frequency (%)
1	45489	99.5%
3	229	0.5%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45489	99.5%
3	229	0.5%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45489	99.5%
3	229	0.5%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45489	99.5%
3	229	0.5%
-	2	< 0.1%

IRFAMPMT
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	44497
1	1219
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	44497	97.3%
1	1219	2.7%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	44497	97.3%
1	1221	2.7%

Most occurring characters

Value	Count	Frequency (%)
2	44497	97.3%
1	1221	2.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	44497	97.3%
1	1221	2.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	44497	97.3%
1	1221	2.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	44497	97.3%
1	1221	2.7%
-	2	< 0.1%

IIFAMPMT
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45376
3	340
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45376	99.3%
3	340	0.7%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45378	99.3%
3	340	0.7%

Most occurring characters

Value	Count	Frequency (%)
1	45378	99.3%
3	340	0.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45378	99.3%
3	340	0.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45378	99.3%
3	340	0.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45378	99.3%
3	340	0.7%
-	2	< 0.1%

IRFAMSVC
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	44069
1	1647
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	44069	96.4%
1	1647	3.6%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	44069	96.4%
1	1649	3.6%

Most occurring characters

Value	Count	Frequency (%)
2	44069	96.4%
1	1649	3.6%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	44069	96.4%
1	1649	3.6%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	44069	96.4%
1	1649	3.6%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	44069	96.4%
1	1649	3.6%
-	2	< 0.1%

IIFAMSVC
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	45457
3	259
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	45457	99.4%
3	259	0.6%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	45459	99.4%
3	259	0.6%

Most occurring characters

Value	Count	Frequency (%)
1	45459	99.4%
3	259	0.6%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	45459	99.4%
3	259	0.6%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	45459	99.4%
3	259	0.6%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	45459	99.4%
3	259	0.6%
-	2	< 0.1%

IRWELMOS
Real number (ℝ)

High correlation

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	94.126887

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	12
Q1	99
median	99
Q3	99
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	20.472772
Coefficient of variation (CV)	0.21750185
Kurtosis	13.84295
Mean	94.126887
Median Absolute Deviation (MAD)	0
Skewness	-3.9740676
Sum	4303293
Variance	419.13439
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
99	43261	94.6%
12	1287	2.8%
1	238	0.5%
6	188	0.4%
2	170	0.4%
3	151	0.3%
4	117	0.3%
5	72	0.2%
8	64	0.1%
9	63	0.1%
Other values (4)	107	0.2%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	238	0.5%
2	170	0.4%
3	151	0.3%
4	117	0.3%
5	72	0.2%
6	188	0.4%
7	43	0.1%
8	64	0.1%
9	63	0.1%

Value	Count	Frequency (%)
99	43261	94.6%
12	1287	2.8%
11	25	0.1%
10	37	0.1%
9	63	0.1%
8	64	0.1%
7	43	0.1%
6	188	0.4%
5	72	0.2%
4	117	0.3%

IIWELMOS
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

9	42887
1	2367
3	462
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9
2nd row	9
3rd row	9
4th row	9
5th row	1

Common Values

Value	Count	Frequency (%)
9	42887	93.8%
1	2367	5.2%
3	462	1.0%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
9	42887	93.8%
1	2369	5.2%
3	462	1.0%

Most occurring characters

Value	Count	Frequency (%)
9	42887	93.8%
1	2369	5.2%
3	462	1.0%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	42887	93.8%
1	2369	5.2%
3	462	1.0%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	42887	93.8%
1	2369	5.2%
3	462	1.0%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	42887	93.8%
1	2369	5.2%
3	462	1.0%
-	2	< 0.1%

IRPINC3
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5846494

Minimum	-1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	2
Q3	4
95-th percentile	7
Maximum	7
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9857968
Coefficient of variation (CV)	0.76830412
Kurtosis	-0.32477971
Mean	2.5846494
Median Absolute Deviation (MAD)	1
Skewness	1.0221726
Sum	118165
Variance	3.9433888
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	21564	47.2%
2	7158	15.7%
3	4536	9.9%
6	3318	7.3%
4	3291	7.2%
7	3181	7.0%
5	2668	5.8%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	21564	47.2%
2	7158	15.7%
3	4536	9.9%
4	3291	7.2%
5	2668	5.8%
6	3318	7.3%
7	3181	7.0%

Value	Count	Frequency (%)
7	3181	7.0%
6	3318	7.3%
5	2668	5.8%
4	3291	7.2%
3	4536	9.9%
2	7158	15.7%
1	21564	47.2%
-1	2	< 0.1%

IRFAMIN3
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.7504703

Minimum	-1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	7
Maximum	7
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.1067253
Coefficient of variation (CV)	0.4434772
Kurtosis	-1.261816
Mean	4.7504703
Median Absolute Deviation (MAD)	2
Skewness	-0.41859892
Sum	217182
Variance	4.4382913
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
7	14636	32.0%
6	7126	15.6%
2	5572	12.2%
3	5032	11.0%
4	4774	10.4%
5	4516	9.9%
1	4060	8.9%
-1	2	< 0.1%

Value	Count	Frequency (%)
-1	2	< 0.1%
1	4060	8.9%
2	5572	12.2%
3	5032	11.0%
4	4774	10.4%
5	4516	9.9%
6	7126	15.6%
7	14636	32.0%

Value	Count	Frequency (%)
7	14636	32.0%
6	7126	15.6%
5	4516	9.9%
4	4774	10.4%
3	5032	11.0%
2	5572	12.2%
1	4060	8.9%
-1	2	< 0.1%

IIPINC3
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	44310
3	1406
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	44310	96.9%
3	1406	3.1%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	44312	96.9%
3	1406	3.1%

Most occurring characters

Value	Count	Frequency (%)
1	44312	96.9%
3	1406	3.1%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	44312	96.9%
3	1406	3.1%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	44312	96.9%
3	1406	3.1%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	44312	96.9%
3	1406	3.1%
-	2	< 0.1%

IIFAMIN3
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	41279
3	4437
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	41279	90.3%
3	4437	9.7%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	41281	90.3%
3	4437	9.7%

Most occurring characters

Value	Count	Frequency (%)
1	41281	90.3%
3	4437	9.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	41281	90.3%
3	4437	9.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	41281	90.3%
3	4437	9.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	41281	90.3%
3	4437	9.7%
-	2	< 0.1%

GOVTPROG
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	34872
1	10844
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	34872	76.3%
1	10844	23.7%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	34872	76.3%
1	10846	23.7%

Most occurring characters

Value	Count	Frequency (%)
2	34872	76.3%
1	10846	23.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	34872	76.3%
1	10846	23.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	34872	76.3%
1	10846	23.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	34872	76.3%
1	10846	23.7%
-	2	< 0.1%

POVERTY3
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

3	25819
2	10225
1	9331
-1	343

Length

Max length	2
Median length	1
Mean length	1.0075025
Min length	1

Characters and Unicode

Total characters	46061
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
3	25819	56.5%
2	10225	22.4%
1	9331	20.4%
-1	343	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	25819	56.5%
2	10225	22.4%
1	9674	21.2%

Most occurring characters

Value	Count	Frequency (%)
3	25819	56.1%
2	10225	22.2%
1	9674	21.0%
-	343	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	46061	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	25819	56.1%
2	10225	22.2%
1	9674	21.0%
-	343	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	46061	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	25819	56.1%
2	10225	22.2%
1	9674	21.0%
-	343	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	46061	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	25819	56.1%
2	10225	22.2%
1	9674	21.0%
-	343	0.7%

TOOLONG
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	42270
1	3307
98	139
-1	2

Length

Max length	2
Median length	1
Mean length	1.0030841
Min length	1

Characters and Unicode

Total characters	45859
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	42270	92.5%
1	3307	7.2%
98	139	0.3%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	42270	92.5%
1	3309	7.2%
98	139	0.3%

Most occurring characters

Value	Count	Frequency (%)
2	42270	92.2%
1	3309	7.2%
9	139	0.3%
8	139	0.3%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45859	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	42270	92.2%
1	3309	7.2%
9	139	0.3%
8	139	0.3%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45859	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	42270	92.2%
1	3309	7.2%
9	139	0.3%
8	139	0.3%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45859	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	42270	92.2%
1	3309	7.2%
9	139	0.3%
8	139	0.3%
-	2	< 0.1%

TROUBUND
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	42980
1	2597
98	139
-1	2

Length

Max length	2
Median length	1
Mean length	1.0030841
Min length	1

Characters and Unicode

Total characters	45859
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	42980	94.0%
1	2597	5.7%
98	139	0.3%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	42980	94.0%
1	2599	5.7%
98	139	0.3%

Most occurring characters

Value	Count	Frequency (%)
2	42980	93.7%
1	2599	5.7%
9	139	0.3%
8	139	0.3%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45859	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	42980	93.7%
1	2599	5.7%
9	139	0.3%
8	139	0.3%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45859	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	42980	93.7%
1	2599	5.7%
9	139	0.3%
8	139	0.3%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45859	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	42980	93.7%
1	2599	5.7%
9	139	0.3%
8	139	0.3%
-	2	< 0.1%

PDEN10
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	22526
1	19681
3	3509
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	22526	49.3%
1	19681	43.0%
3	3509	7.7%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	22526	49.3%
1	19683	43.1%
3	3509	7.7%

Most occurring characters

Value	Count	Frequency (%)
2	22526	49.3%
1	19683	43.1%
3	3509	7.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	22526	49.3%
1	19683	43.1%
3	3509	7.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	22526	49.3%
1	19683	43.1%
3	3509	7.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	22526	49.3%
1	19683	43.1%
3	3509	7.7%
-	2	< 0.1%

COUTYP2
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	20236
2	15997
3	9483
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	3
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	20236	44.3%
2	15997	35.0%
3	9483	20.7%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	20238	44.3%
2	15997	35.0%
3	9483	20.7%

Most occurring characters

Value	Count	Frequency (%)
1	20238	44.3%
2	15997	35.0%
3	9483	20.7%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	20238	44.3%
2	15997	35.0%
3	9483	20.7%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	20238	44.3%
2	15997	35.0%
3	9483	20.7%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	20238	44.3%
2	15997	35.0%
3	9483	20.7%
-	2	< 0.1%

MAIIN102
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	44759
1	957
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	44759	97.9%
1	957	2.1%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	44759	97.9%
1	959	2.1%

Most occurring characters

Value	Count	Frequency (%)
2	44759	97.9%
1	959	2.1%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	44759	97.9%
1	959	2.1%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	44759	97.9%
1	959	2.1%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	44759	97.9%
1	959	2.1%
-	2	< 0.1%

AIIND102
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

2	44750
1	966
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	44750	97.9%
1	966	2.1%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	44750	97.9%
1	968	2.1%

Most occurring characters

Value	Count	Frequency (%)
2	44750	97.9%
1	968	2.1%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	44750	97.9%
1	968	2.1%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	44750	97.9%
1	968	2.1%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	44750	97.9%
1	968	2.1%
-	2	< 0.1%

ANALWT_C
Real number (ℝ)

Distinct	45647
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4692.6612

Minimum	-1
Maximum	109100.62
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	309.34655
Q1	1252.3965
median	2719.3352
Q3	5765.8108
95-th percentile	15949.605
Maximum	109100.62
Range	109101.62
Interquartile range (IQR)	4513.4143

Descriptive statistics

Standard deviation	5724.6595
Coefficient of variation (CV)	1.2199175
Kurtosis	15.613558
Mean	4692.6612
Median Absolute Deviation (MAD)	1835.6761
Skewness	3.0625796
Sum	2.1453908 × 10⁸
Variance	32771726
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
521.4429812	7	< 0.1%
806.8289985	5	< 0.1%
447.2518002	3	< 0.1%
361.9981805	3	< 0.1%
11406.14453	2	< 0.1%
516.0046197	2	< 0.1%
3090.196046	2	< 0.1%
948.6126402	2	< 0.1%
1801.997436	2	< 0.1%
16678.97671	2	< 0.1%
Other values (45637)	45688	99.9%

Value	Count	Frequency (%)
-1	2	< 0.1%
1.621832251	1	< 0.1%
1.886665779	1	< 0.1%
2.674641533	1	< 0.1%
5.40311192	1	< 0.1%
5.632292587	1	< 0.1%
6.110816116	1	< 0.1%
6.642932439	1	< 0.1%
8.957210452	1	< 0.1%
9.51622602	1	< 0.1%

Value	Count	Frequency (%)
109100.623	1	< 0.1%
76179.50875	1	< 0.1%
74971.92852	1	< 0.1%
73657.3996	1	< 0.1%
64176.53229	1	< 0.1%
62126.67785	1	< 0.1%
61167.13007	1	< 0.1%
60519.00839	1	< 0.1%
60209.95801	1	< 0.1%
59789.46338	1	< 0.1%

VESTR
Real number (ℝ)

High correlation Skewed

Distinct	51
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40023.739

Minimum	-1
Maximum	40050
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	357.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	40003
Q1	40013
median	40025
Q3	40039
95-th percentile	40048
Maximum	40050
Range	40051
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	265.14043
Coefficient of variation (CV)	0.0066245792
Kurtosis	22717.583
Mean	40023.739
Median Absolute Deviation (MAD)	13
Skewness	-150.49731
Sum	1.8298053 × 10⁹
Variance	70299.448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40048	1050	2.3%
40040	1040	2.3%
40020	1032	2.3%
40010	1028	2.2%
40045	1020	2.2%
40019	1017	2.2%
40029	1014	2.2%
40005	1013	2.2%
40008	1001	2.2%
40009	997	2.2%
Other values (41)	35506	77.7%

Value	Count	Frequency (%)
-1	2	< 0.1%
40001	920	2.0%
40002	887	1.9%
40003	879	1.9%
40004	929	2.0%
40005	1013	2.2%
40006	924	2.0%
40007	919	2.0%
40008	1001	2.2%
40009	997	2.2%

Value	Count	Frequency (%)
40050	959	2.1%
40049	989	2.2%
40048	1050	2.3%
40047	994	2.2%
40046	895	2.0%
40045	1020	2.2%
40044	814	1.8%
40043	929	2.0%
40042	898	2.0%
40041	975	2.1%

VEREP
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

1	23134
2	22582
-1	2

Length

Max length	2
Median length	1
Mean length	1.0000437
Min length	1

Characters and Unicode

Total characters	45720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	23134	50.6%
2	22582	49.4%
-1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	23136	50.6%
2	22582	49.4%

Most occurring characters

Value	Count	Frequency (%)
1	23136	50.6%
2	22582	49.4%
-	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	23136	50.6%
2	22582	49.4%
-	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	23136	50.6%
2	22582	49.4%
-	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	23136	50.6%
2	22582	49.4%
-	2	< 0.1%

Criminal
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	357.3 KiB

0	42543
1	3175

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	45718
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	42543	93.1%
1	3175	6.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	42543	93.1%
1	3175	6.9%

Most occurring characters

Value	Count	Frequency (%)
0	42543	93.1%
1	3175	6.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45718	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	42543	93.1%
1	3175	6.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45718	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	42543	93.1%
1	3175	6.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45718	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	42543	93.1%
1	3175	6.9%

Interactions

Correlations

	AIIND102	ANALWT_C	ANYHLTI2	CAIDCHIP	CELLNOTCL	CELLWRKNG	CHAMPUS	COUTYP2	Criminal	GOVTPROG	GRPHLTIN	HLCALL99	HLCALLFG	HLCLAST	HLCNOTMO	HLCNOTYR	HLLOSRSN	HLNVCOST	HLNVNEED	HLNVOFFR	HLNVREF	HLNVSOR	HLTINNOS	IFATHER	IICHMPUS	IIFAMIN3	IIFAMPMT	IIFAMSOC	IIFAMSSI	IIFAMSVC	IIFSTAMP	IIHH65_2	IIHHSIZ2	IIINSUR4	IIKI17_2	IIMCDCHP	IIMEDICR	IIOTHHLT	IIPINC3	IIPRVHLT	IIWELMOS	IRCHMPUS	IRFAMIN3	IRFAMPMT	IRFAMSOC	IRFAMSSI	IRFAMSVC	IRFSTAMP	IRHH65_2	IRHHSIZ2	IRINSUR4	IRKI17_2	IRMCDCHP	IRMEDICR	IROTHHLT	IRPINC3	IRPRVHLT	IRWELMOS	MAIIN102	MEDICARE	NRCH17_2	OTHINS	PDEN10	PERID	POVERTY3	PRVHLTIN	PRXRETRY	PRXYDATA	TOOLONG	TROUBUND	VEREP	VESTR
AIIND102	1.000	0.015	0.000	0.000	0.000	0.000	0.000	0.715	0.000	0.707	0.036	0.707	0.707	0.020	0.019	0.000	0.017	0.046	0.046	0.046	0.046	0.046	0.041	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.708	0.030	0.993	0.000	0.109	0.708	0.716	0.014	0.062	0.000	0.051	0.009	0.707	0.707	0.707	1.000
ANALWT_C	0.015	1.000	0.014	0.142	-0.107	0.031	-0.025	0.065	0.030	0.037	-0.048	0.000	0.000	-0.014	0.021	0.019	-0.014	0.004	0.004	0.004	0.004	0.004	0.001	0.094	0.014	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.002	0.000	0.003	0.000	0.020	0.039	0.000	0.021	0.033	0.096	0.019	0.169	0.000	0.019	0.047	0.186	-0.154	0.015	0.108	0.069	0.231	0.018	0.342	0.034	0.058	0.015	-0.262	0.026	0.173	0.066	-0.003	0.058	-0.078	0.036	0.297	0.044	0.026	0.000	-0.013
ANYHLTI2	0.000	0.014	1.000	0.217	0.112	0.037	0.098	0.018	0.049	0.014	0.410	0.000	0.000	-0.995	-0.003	0.804	-0.895	-0.504	-0.504	-0.504	-0.504	-0.504	-0.781	0.046	0.391	0.131	0.289	0.227	0.221	0.266	0.258	0.087	0.180	1.000	0.102	0.632	0.490	1.000	0.121	0.641	0.266	0.017	-0.193	0.000	0.003	0.000	0.007	0.014	0.013	0.049	0.050	0.000	0.012	0.020	0.060	-0.073	0.050	-0.008	0.000	0.136	0.138	0.007	0.016	-0.004	0.033	0.449	-0.048	0.098	0.077	0.078	0.000	-0.000
CAIDCHIP	0.000	0.142	0.217	1.000	-0.054	-0.020	-0.047	0.016	0.050	0.010	-0.536	0.000	0.000	-0.209	0.055	0.222	-0.195	-0.151	-0.151	-0.151	-0.151	-0.151	-0.201	0.033	0.288	0.088	0.285	0.159	0.163	0.188	0.186	0.074	0.133	0.449	0.092	0.707	0.335	0.450	0.087	0.286	0.248	0.000	0.366	0.000	0.000	0.000	0.006	0.008	0.004	-0.150	0.004	0.003	0.018	0.012	0.006	0.313	0.022	0.220	0.000	0.011	0.106	0.007	0.015	-0.014	0.017	-0.539	-0.029	0.161	0.064	0.065	0.000	-0.010
CELLNOTCL	0.000	-0.107	0.112	-0.054	1.000	-0.069	0.023	0.007	0.014	0.000	0.096	0.000	0.000	-0.112	-0.062	0.050	-0.093	-0.059	-0.059	-0.059	-0.059	-0.059	-0.114	0.021	0.243	0.063	0.148	0.131	0.127	0.175	0.177	0.132	0.285	0.143	0.162	0.140	0.188	0.143	0.101	0.160	0.133	0.000	-0.229	0.000	0.000	0.000	0.000	0.004	0.000	-0.067	0.004	0.006	0.000	0.000	0.007	-0.012	0.004	-0.040	0.000	0.162	0.216	0.002	0.000	0.001	0.008	0.116	0.014	0.100	0.140	0.140	0.003	0.002
CELLWRKNG	0.000	0.031	0.037	-0.020	-0.069	1.000	0.028	0.006	0.018	0.000	0.082	0.000	0.000	-0.030	-0.009	0.032	-0.021	-0.057	-0.058	-0.057	-0.057	-0.057	-0.026	0.026	0.284	0.056	0.160	0.142	0.137	0.189	0.201	0.150	0.360	0.164	0.190	0.166	0.221	0.164	0.100	0.189	0.141	0.000	-0.101	0.000	0.000	0.000	0.002	0.004	0.000	-0.074	0.003	0.001	0.000	0.000	0.005	-0.024	0.000	-0.029	0.000	-0.096	0.272	0.000	0.000	0.000	0.007	0.080	-0.014	0.024	0.170	0.170	0.000	0.004
CHAMPUS	0.000	-0.025	0.098	-0.047	0.023	0.028	1.000	0.010	0.041	0.003	-0.118	0.000	0.000	-0.090	-0.062	0.055	-0.087	-0.086	-0.086	-0.086	-0.086	-0.086	-0.075	0.023	0.707	0.070	0.221	0.201	0.212	0.242	0.250	0.101	0.226	0.277	0.123	0.281	0.337	0.277	0.090	0.312	0.200	0.000	-0.021	0.000	0.000	0.000	0.005	0.003	0.000	0.059	0.000	0.004	0.010	0.000	0.000	-0.036	0.000	-0.021	0.000	0.123	0.178	0.000	0.007	-0.006	0.006	-0.105	-0.036	-0.018	0.111	0.111	0.000	0.007
COUTYP2	0.715	0.065	0.018	0.016	0.007	0.006	0.010	1.000	0.032	0.708	0.025	0.707	0.707	0.022	0.017	0.008	0.020	0.051	0.051	0.051	0.051	0.051	0.025	0.577	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.577	0.707	0.707	0.707	0.707	0.707	0.578	0.707	0.707	0.577	0.708	0.580	0.707	0.709	0.707	0.707	0.707	0.578	0.578	0.707	0.577	0.707	0.708	0.577	0.579	0.708	0.033	0.714	0.009	0.090	0.708	0.845	0.011	0.058	0.007	0.055	0.016	0.577	0.577	0.707	1.000
Criminal	0.000	0.030	0.049	0.050	0.014	0.018	0.041	0.032	1.000	0.000	0.195	0.039	0.039	0.091	0.017	0.069	0.081	0.038	0.038	0.038	0.038	0.038	0.107	0.085	0.040	0.037	0.034	0.026	0.037	0.035	0.024	0.000	0.006	0.049	0.000	0.048	0.037	0.116	0.029	0.103	0.036	0.013	0.272	0.000	0.111	0.000	0.000	0.006	0.113	0.078	0.089	0.049	0.081	0.144	0.104	0.130	0.205	0.003	0.000	0.039	0.099	0.076	0.034	0.000	0.201	0.103	0.000	0.038	0.023	0.024	0.005	0.000
GOVTPROG	0.707	0.037	0.014	0.010	0.000	0.000	0.003	0.708	0.000	1.000	0.287	0.707	0.707	0.070	0.049	0.050	0.051	0.047	0.047	0.047	0.047	0.047	0.068	0.716	0.707	0.708	0.708	0.707	0.708	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.709	0.707	0.707	0.769	0.708	0.781	0.738	0.713	0.786	0.748	0.950	0.708	0.718	0.709	0.720	0.776	0.707	0.709	0.734	0.764	0.303	0.707	0.010	0.137	0.707	0.707	0.014	0.376	0.008	0.051	0.030	0.708	0.708	0.707	1.000
GRPHLTIN	0.036	-0.048	0.410	-0.536	0.096	0.082	-0.118	0.025	0.195	0.287	1.000	0.006	0.006	-0.411	-0.085	0.272	-0.367	-0.185	-0.185	-0.185	-0.185	-0.185	-0.470	0.099	0.113	0.068	0.077	0.068	0.071	0.085	0.087	0.024	0.016	0.103	0.022	0.076	0.093	0.362	0.038	0.100	0.149	0.093	-0.486	0.105	0.063	0.133	0.102	0.283	0.032	0.072	0.299	0.088	0.410	0.036	0.349	-0.297	0.699	-0.182	0.036	-0.104	0.029	0.150	0.025	0.003	0.354	0.946	-0.017	-0.011	0.034	0.038	0.003	0.005
HLCALL99	0.707	0.000	0.000	0.000	0.000	0.000	0.000	0.707	0.039	0.707	0.006	1.000	1.000	0.019	0.017	0.000	0.015	0.046	0.046	0.046	0.046	0.046	0.016	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.709	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.030	0.707	0.000	0.109	0.708	0.707	0.011	0.053	0.000	0.051	0.008	0.707	0.707	0.707	1.000
HLCALLFG	0.707	0.000	0.000	0.000	0.000	0.000	0.000	0.707	0.039	0.707	0.006	1.000	1.000	0.019	0.017	0.000	0.015	0.046	0.046	0.046	0.046	0.046	0.016	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.709	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.030	0.707	0.000	0.109	0.708	0.707	0.011	0.053	0.000	0.051	0.008	0.707	0.707	0.707	1.000
HLCLAST	0.020	-0.014	-0.995	-0.209	-0.112	-0.030	-0.090	0.022	0.091	0.070	-0.411	0.019	0.019	1.000	-0.016	-0.804	0.910	0.447	0.447	0.447	0.447	0.447	0.796	0.126	0.026	0.035	0.020	0.019	0.019	0.021	0.019	0.022	0.019	0.037	0.026	0.038	0.030	0.855	0.019	0.034	0.021	0.069	0.193	0.019	0.048	0.021	0.020	0.077	0.054	-0.047	0.983	0.026	0.183	0.103	0.983	0.070	0.421	0.009	0.021	-0.127	0.068	0.139	0.022	0.003	0.193	-0.445	0.040	-0.098	0.031	0.023	0.019	0.001
HLCNOTMO	0.019	0.021	-0.003	0.055	-0.062	-0.009	-0.062	0.017	0.017	0.049	-0.085	0.017	0.017	-0.016	1.000	0.548	0.005	0.130	0.130	0.130	0.130	0.130	-0.054	0.034	0.018	0.018	0.057	0.017	0.017	0.016	0.017	0.013	0.017	0.054	0.016	0.052	0.019	0.055	0.021	0.022	0.043	0.026	0.090	0.025	0.027	0.018	0.026	0.048	0.028	-0.003	0.069	0.017	0.078	0.046	0.062	0.040	0.036	0.032	0.019	-0.097	0.024	0.029	0.017	0.005	0.043	-0.090	0.046	-0.043	0.014	0.014	0.017	0.006
HLCNOTYR	0.000	0.019	0.804	0.222	0.050	0.032	0.055	0.008	0.069	0.050	0.272	0.000	0.000	-0.804	0.548	1.000	-0.719	-0.384	-0.384	-0.384	-0.384	-0.384	-0.626	0.079	0.092	0.055	0.167	0.057	0.061	0.065	0.069	0.029	0.041	0.241	0.038	0.188	0.098	0.627	0.034	0.126	0.131	0.048	-0.097	0.009	0.031	0.011	0.008	0.055	0.037	0.040	0.676	0.013	0.119	0.072	0.677	-0.043	0.297	0.012	0.000	0.064	0.050	0.095	0.009	-0.001	0.139	0.312	-0.037	0.049	0.023	0.018	0.000	0.003
HLLOSRSN	0.017	-0.014	-0.895	-0.195	-0.093	-0.021	-0.087	0.020	0.081	0.051	-0.367	0.015	0.015	0.910	0.005	-0.719	1.000	0.122	0.122	0.122	0.122	0.122	0.699	0.068	0.019	0.023	0.016	0.015	0.016	0.016	0.015	0.016	0.016	0.025	0.018	0.026	0.021	0.439	0.017	0.023	0.014	0.044	0.160	0.017	0.025	0.016	0.018	0.055	0.027	-0.025	0.617	0.029	0.115	0.065	0.504	0.060	0.265	0.012	0.017	-0.121	0.036	0.088	0.018	0.001	0.089	-0.402	0.043	-0.091	0.017	0.013	0.016	0.004
HLNVCOST	0.046	0.004	-0.504	-0.151	-0.059	-0.057	-0.086	0.051	0.038	0.047	-0.185	0.046	0.046	0.447	0.130	-0.384	0.122	1.000	1.000	1.000	1.000	1.000	0.289	0.063	0.047	0.056	0.046	0.046	0.046	0.047	0.046	0.052	0.049	0.048	0.055	0.048	0.047	0.365	0.047	0.048	0.047	0.054	0.104	0.046	0.063	0.053	0.048	0.050	0.054	-0.059	0.418	0.057	0.090	0.063	0.418	0.060	0.184	0.001	0.046	-0.110	0.062	0.074	0.053	0.009	0.123	-0.237	0.090	-0.033	0.060	0.057	0.046	-0.003
HLNVNEED	0.046	0.004	-0.504	-0.151	-0.059	-0.058	-0.086	0.051	0.038	0.047	-0.185	0.046	0.046	0.447	0.130	-0.384	0.122	1.000	1.000	1.000	1.000	1.000	0.289	0.063	0.047	0.056	0.046	0.046	0.046	0.047	0.046	0.052	0.049	0.048	0.055	0.048	0.047	0.365	0.047	0.048	0.047	0.054	0.104	0.046	0.063	0.053	0.048	0.050	0.054	-0.059	0.418	0.057	0.090	0.063	0.418	0.060	0.184	0.001	0.046	-0.110	0.062	0.074	0.053	0.009	0.123	-0.237	0.090	-0.033	0.060	0.057	0.046	-0.003
HLNVOFFR	0.046	0.004	-0.504	-0.151	-0.059	-0.057	-0.086	0.051	0.038	0.047	-0.185	0.046	0.046	0.447	0.130	-0.384	0.122	1.000	1.000	1.000	1.000	1.000	0.289	0.063	0.047	0.056	0.046	0.046	0.046	0.047	0.046	0.052	0.049	0.048	0.055	0.048	0.047	0.365	0.047	0.048	0.047	0.054	0.104	0.046	0.063	0.053	0.048	0.050	0.054	-0.059	0.418	0.057	0.090	0.063	0.418	0.060	0.184	0.001	0.046	-0.110	0.062	0.074	0.053	0.009	0.123	-0.237	0.090	-0.033	0.060	0.057	0.046	-0.003
HLNVREF	0.046	0.004	-0.504	-0.151	-0.059	-0.057	-0.086	0.051	0.038	0.047	-0.185	0.046	0.046	0.447	0.130	-0.384	0.122	1.000	1.000	1.000	1.000	1.000	0.289	0.063	0.047	0.056	0.046	0.046	0.046	0.047	0.046	0.052	0.049	0.048	0.055	0.048	0.047	0.365	0.047	0.048	0.047	0.054	0.104	0.046	0.063	0.053	0.048	0.050	0.054	-0.059	0.418	0.057	0.090	0.063	0.418	0.060	0.184	0.001	0.046	-0.110	0.062	0.074	0.053	0.009	0.123	-0.237	0.090	-0.033	0.060	0.057	0.046	-0.003
HLNVSOR	0.046	0.004	-0.504	-0.151	-0.059	-0.057	-0.086	0.051	0.038	0.047	-0.185	0.046	0.046	0.447	0.130	-0.384	0.122	1.000	1.000	1.000	1.000	1.000	0.289	0.063	0.047	0.056	0.046	0.046	0.046	0.047	0.046	0.052	0.049	0.048	0.055	0.048	0.047	0.365	0.047	0.048	0.047	0.054	0.104	0.046	0.063	0.053	0.048	0.050	0.054	-0.059	0.418	0.057	0.090	0.063	0.418	0.060	0.184	0.001	0.046	-0.110	0.062	0.074	0.053	0.009	0.123	-0.237	0.090	-0.033	0.060	0.057	0.046	-0.003
HLTINNOS	0.041	0.001	-0.781	-0.201	-0.114	-0.026	-0.075	0.025	0.107	0.068	-0.470	0.016	0.016	0.796	-0.054	-0.626	0.699	0.289	0.289	0.289	0.289	0.289	1.000	0.136	0.026	0.042	0.018	0.016	0.017	0.018	0.016	0.022	0.016	0.041	0.026	0.041	0.032	1.000	0.016	0.036	0.018	0.079	0.202	0.016	0.053	0.018	0.016	0.074	0.062	-0.035	0.847	0.033	0.213	0.119	0.986	0.065	0.492	0.004	0.042	-0.112	0.059	0.102	0.031	0.002	0.198	-0.483	0.022	-0.112	0.026	0.020	0.016	0.004
IFATHER	0.707	0.094	0.046	0.033	0.021	0.026	0.023	0.577	0.085	0.716	0.099	0.707	0.707	0.126	0.034	0.079	0.068	0.063	0.063	0.063	0.063	0.063	0.136	1.000	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.579	0.710	0.708	0.709	0.708	0.707	0.583	0.708	0.707	0.581	0.707	0.512	0.710	0.711	0.709	0.710	0.716	0.582	0.529	0.713	0.557	0.731	0.716	0.583	0.575	0.714	0.084	0.707	0.015	0.198	0.715	0.577	0.008	0.109	0.022	0.051	0.762	0.578	0.577	0.707	1.000
IICHMPUS	0.707	0.014	0.391	0.288	0.243	0.284	0.707	0.707	0.040	0.707	0.113	0.707	0.707	0.026	0.018	0.092	0.019	0.047	0.047	0.047	0.047	0.047	0.026	0.707	1.000	0.710	0.740	0.734	0.738	0.746	0.748	0.714	0.741	0.759	0.717	0.761	0.783	0.759	0.713	0.772	0.734	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.029	0.707	0.345	0.207	0.707	0.707	0.011	0.054	0.323	0.068	0.013	0.715	0.715	0.707	1.000
IIFAMIN3	0.707	0.017	0.131	0.088	0.063	0.056	0.070	0.708	0.037	0.708	0.068	0.707	0.707	0.035	0.018	0.055	0.023	0.056	0.056	0.056	0.056	0.056	0.042	0.707	0.710	1.000	0.716	0.719	0.720	0.718	0.715	0.710	0.710	0.713	0.710	0.712	0.711	0.714	0.781	0.712	0.718	0.707	0.708	0.707	0.708	0.707	0.707	0.707	0.710	0.709	0.708	0.707	0.708	0.708	0.708	0.710	0.709	0.029	0.707	0.077	0.133	0.708	0.708	0.010	0.068	0.084	0.104	0.078	0.708	0.708	0.707	1.000
IIFAMPMT	0.707	0.000	0.289	0.285	0.148	0.160	0.221	0.707	0.034	0.708	0.077	0.707	0.707	0.020	0.057	0.167	0.016	0.046	0.046	0.046	0.046	0.046	0.018	0.707	0.740	0.716	1.000	0.764	0.772	0.825	0.788	0.712	0.723	0.736	0.714	0.747	0.733	0.736	0.715	0.733	0.920	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.032	0.707	0.201	0.162	0.707	0.707	0.009	0.058	0.201	0.115	0.027	0.710	0.710	0.707	1.000
IIFAMSOC	0.707	0.000	0.227	0.159	0.131	0.142	0.201	0.707	0.026	0.707	0.068	0.707	0.707	0.019	0.017	0.057	0.015	0.046	0.046	0.046	0.046	0.046	0.016	0.707	0.734	0.719	0.764	1.000	0.802	0.764	0.768	0.712	0.721	0.725	0.713	0.724	0.730	0.725	0.715	0.728	0.757	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.708	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.031	0.707	0.188	0.156	0.707	0.707	0.009	0.055	0.181	0.123	0.037	0.709	0.709	0.707	1.000
IIFAMSSI	0.707	0.000	0.221	0.163	0.127	0.137	0.212	0.707	0.037	0.708	0.071	0.707	0.707	0.019	0.017	0.061	0.016	0.046	0.046	0.046	0.046	0.046	0.017	0.707	0.738	0.720	0.772	0.802	1.000	0.776	0.772	0.713	0.719	0.724	0.713	0.725	0.730	0.724	0.716	0.731	0.769	0.707	0.707	0.707	0.708	0.707	0.707	0.708	0.708	0.708	0.707	0.707	0.707	0.707	0.707	0.708	0.708	0.032	0.707	0.187	0.150	0.707	0.707	0.009	0.059	0.191	0.110	0.039	0.710	0.710	0.707	1.000
IIFAMSVC	0.707	0.000	0.266	0.188	0.175	0.189	0.242	0.707	0.035	0.708	0.085	0.707	0.707	0.021	0.016	0.065	0.016	0.047	0.047	0.047	0.047	0.047	0.018	0.707	0.746	0.718	0.825	0.764	0.776	1.000	0.793	0.712	0.727	0.732	0.715	0.730	0.736	0.732	0.717	0.736	0.880	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.032	0.707	0.214	0.176	0.707	0.707	0.008	0.057	0.215	0.106	0.027	0.712	0.712	0.707	1.000
IIFSTAMP	0.707	0.000	0.258	0.186	0.177	0.201	0.250	0.707	0.024	0.707	0.087	0.707	0.707	0.019	0.017	0.069	0.015	0.046	0.046	0.046	0.046	0.046	0.016	0.707	0.748	0.715	0.788	0.768	0.772	0.793	1.000	0.715	0.730	0.730	0.718	0.730	0.736	0.730	0.718	0.736	0.773	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.029	0.707	0.214	0.183	0.707	0.707	0.007	0.054	0.215	0.091	0.023	0.712	0.712	0.707	1.000
IIHH65_2	0.707	0.000	0.087	0.074	0.132	0.150	0.101	0.577	0.000	0.707	0.024	0.707	0.707	0.022	0.013	0.029	0.016	0.052	0.052	0.052	0.052	0.052	0.022	0.579	0.714	0.710	0.712	0.712	0.713	0.712	0.715	1.000	0.758	0.710	0.910	0.711	0.712	0.580	0.709	0.711	0.581	0.707	0.577	0.707	0.707	0.707	0.707	0.707	0.577	0.578	0.707	0.578	0.707	0.707	0.577	0.578	0.707	0.030	0.707	0.086	0.277	0.707	0.577	0.008	0.048	0.070	0.054	0.018	0.580	0.580	0.707	1.000
IIHHSIZ2	0.707	0.011	0.180	0.133	0.285	0.360	0.226	0.707	0.006	0.707	0.016	0.707	0.707	0.019	0.017	0.041	0.016	0.049	0.049	0.049	0.049	0.049	0.016	0.710	0.741	0.710	0.723	0.721	0.719	0.727	0.730	0.758	1.000	0.718	0.787	0.718	0.729	0.718	0.712	0.721	0.718	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.030	0.707	0.178	0.506	0.707	0.707	0.007	0.053	0.141	0.051	0.021	0.731	0.731	0.707	1.000
IIINSUR4	0.707	0.002	1.000	0.449	0.143	0.164	0.277	0.707	0.049	0.707	0.103	0.707	0.707	0.037	0.054	0.241	0.025	0.048	0.048	0.048	0.048	0.048	0.041	0.708	0.759	0.713	0.736	0.725	0.724	0.732	0.730	0.710	0.718	1.000	0.711	0.837	0.787	1.000	0.712	0.840	0.732	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.708	0.708	0.708	0.030	0.707	0.347	0.146	0.707	0.707	0.013	0.058	0.454	0.103	0.025	0.709	0.709	0.707	1.000
IIKI17_2	0.707	0.000	0.102	0.092	0.162	0.190	0.123	0.707	0.000	0.707	0.022	0.707	0.707	0.026	0.016	0.038	0.018	0.055	0.055	0.055	0.055	0.055	0.026	0.709	0.717	0.710	0.714	0.713	0.713	0.715	0.718	0.910	0.787	0.711	1.000	0.712	0.714	0.711	0.710	0.712	0.712	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.031	0.707	0.103	0.414	0.707	0.707	0.008	0.057	0.084	0.051	0.017	0.713	0.713	0.707	1.000
IIMCDCHP	0.707	0.003	0.632	0.707	0.140	0.166	0.281	0.707	0.048	0.707	0.076	0.707	0.707	0.038	0.052	0.188	0.026	0.048	0.048	0.048	0.048	0.048	0.041	0.708	0.761	0.712	0.747	0.724	0.725	0.730	0.730	0.711	0.718	0.837	0.712	1.000	0.778	0.837	0.712	0.759	0.741	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.030	0.707	0.326	0.147	0.707	0.707	0.017	0.056	0.279	0.094	0.018	0.710	0.710	0.707	1.000
IIMEDICR	0.707	0.000	0.490	0.335	0.188	0.221	0.337	0.707	0.037	0.707	0.093	0.707	0.707	0.030	0.019	0.098	0.021	0.047	0.047	0.047	0.047	0.047	0.032	0.707	0.783	0.711	0.733	0.730	0.730	0.736	0.736	0.712	0.729	0.787	0.714	0.778	1.000	0.787	0.712	0.760	0.730	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.031	0.707	0.707	0.176	0.707	0.707	0.010	0.055	0.286	0.080	0.021	0.711	0.712	0.707	1.000
IIOTHHLT	0.708	0.020	1.000	0.450	0.143	0.164	0.277	0.578	0.116	0.709	0.362	0.707	0.707	0.855	0.055	0.627	0.439	0.365	0.365	0.365	0.365	0.365	1.000	0.583	0.759	0.714	0.736	0.725	0.724	0.732	0.730	0.580	0.718	1.000	0.711	0.837	0.787	1.000	0.712	0.840	0.597	0.709	0.590	0.707	0.708	0.707	0.707	0.709	0.578	0.578	0.928	0.578	0.723	0.712	0.813	0.586	0.790	0.031	0.708	0.347	0.124	0.711	0.578	0.010	0.125	0.454	0.103	0.117	0.579	0.579	0.707	1.000
IIPINC3	0.707	0.039	0.121	0.087	0.101	0.100	0.090	0.707	0.029	0.707	0.038	0.707	0.707	0.019	0.021	0.034	0.017	0.047	0.047	0.047	0.047	0.047	0.016	0.708	0.713	0.781	0.715	0.715	0.716	0.717	0.718	0.709	0.712	0.712	0.710	0.712	0.712	0.712	1.000	0.712	0.715	0.707	0.707	0.707	0.709	0.707	0.707	0.707	0.710	0.708	0.707	0.708	0.707	0.711	0.707	0.708	0.707	0.029	0.707	0.087	0.138	0.709	0.707	0.007	0.055	0.087	0.052	0.060	0.709	0.708	0.707	1.000
IIPRVHLT	0.707	0.000	0.641	0.286	0.160	0.189	0.312	0.707	0.103	0.707	0.100	0.707	0.707	0.034	0.022	0.126	0.023	0.048	0.048	0.048	0.048	0.048	0.036	0.707	0.772	0.712	0.733	0.728	0.731	0.736	0.736	0.711	0.721	0.840	0.712	0.759	0.760	0.840	0.712	1.000	0.730	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.029	0.707	0.282	0.153	0.707	0.707	0.008	0.056	0.707	0.098	0.022	0.710	0.710	0.707	1.000
IIWELMOS	0.707	0.021	0.266	0.248	0.133	0.141	0.200	0.577	0.036	0.769	0.149	0.707	0.707	0.021	0.043	0.131	0.014	0.047	0.047	0.047	0.047	0.047	0.018	0.581	0.734	0.718	0.920	0.757	0.769	0.880	0.773	0.581	0.718	0.732	0.712	0.741	0.730	0.597	0.715	0.730	1.000	0.707	0.594	0.857	0.708	0.717	0.905	0.746	0.578	0.579	0.707	0.581	0.726	0.707	0.577	0.582	0.720	0.697	0.707	0.186	0.138	0.707	0.577	0.009	0.154	0.188	0.122	0.032	0.580	0.580	0.707	1.000
IRCHMPUS	0.707	0.033	0.017	0.000	0.000	0.000	0.000	0.708	0.013	0.708	0.093	0.709	0.709	0.069	0.026	0.048	0.044	0.054	0.054	0.054	0.054	0.054	0.079	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.709	0.707	0.707	0.707	1.000	0.707	0.707	0.710	0.707	0.707	0.708	0.710	0.708	0.709	0.708	0.709	0.711	0.709	0.708	0.713	0.034	0.707	0.000	0.111	0.785	0.708	0.007	0.064	0.000	0.051	0.019	0.707	0.707	0.707	1.000
IRFAMIN3	0.708	0.096	-0.193	0.366	-0.229	-0.101	-0.021	0.580	0.272	0.781	-0.486	0.707	0.707	0.193	0.090	-0.097	0.160	0.104	0.104	0.104	0.104	0.104	0.202	0.512	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.577	0.707	0.707	0.707	0.707	0.707	0.590	0.707	0.707	0.594	0.707	1.000	0.719	0.713	0.722	0.720	0.782	0.580	0.125	0.722	0.504	0.759	0.711	0.591	0.366	0.785	0.220	0.708	0.078	0.082	0.710	0.580	-0.007	0.614	-0.471	-0.023	-0.102	0.579	0.578	0.707	-0.016
IRFAMPMT	0.707	0.019	0.000	0.000	0.000	0.000	0.000	0.707	0.000	0.738	0.105	0.707	0.707	0.019	0.025	0.009	0.017	0.046	0.046	0.046	0.046	0.046	0.016	0.710	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.857	0.707	0.719	1.000	0.707	0.713	0.732	0.733	0.707	0.709	0.707	0.712	0.719	0.707	0.707	0.711	0.715	0.493	0.707	0.000	0.120	0.707	0.707	0.011	0.156	0.000	0.051	0.019	0.707	0.707	0.707	1.000
IRFAMSOC	0.707	0.169	0.003	0.000	0.000	0.000	0.000	0.709	0.111	0.713	0.063	0.707	0.707	0.048	0.027	0.031	0.025	0.063	0.063	0.063	0.063	0.063	0.053	0.711	0.707	0.708	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.709	0.707	0.708	0.710	0.713	0.707	1.000	0.724	0.707	0.709	0.840	0.718	0.708	0.720	0.708	0.809	0.708	0.713	0.710	0.040	0.707	0.000	0.145	0.767	0.708	0.008	0.075	0.000	0.051	0.056	0.710	0.709	0.707	1.000
IRFAMSSI	0.707	0.000	0.000	0.000	0.000	0.000	0.000	0.707	0.000	0.786	0.133	0.707	0.707	0.021	0.018	0.011	0.016	0.053	0.053	0.053	0.053	0.053	0.018	0.709	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.717	0.707	0.722	0.713	0.724	1.000	0.713	0.734	0.709	0.708	0.707	0.708	0.725	0.712	0.707	0.713	0.720	0.125	0.707	0.005	0.111	0.710	0.707	0.013	0.166	0.000	0.051	0.022	0.708	0.708	0.707	1.000
IRFAMSVC	0.707	0.019	0.007	0.006	0.000	0.002	0.005	0.707	0.000	0.748	0.102	0.707	0.707	0.020	0.026	0.008	0.018	0.048	0.048	0.048	0.048	0.048	0.016	0.710	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.905	0.707	0.720	0.732	0.707	0.713	1.000	0.731	0.707	0.707	0.707	0.709	0.718	0.707	0.707	0.710	0.715	0.574	0.707	0.013	0.116	0.707	0.707	0.010	0.150	0.005	0.051	0.009	0.707	0.707	0.707	1.000
IRFSTAMP	0.707	0.047	0.014	0.008	0.004	0.004	0.003	0.707	0.006	0.950	0.283	0.707	0.707	0.077	0.048	0.055	0.055	0.050	0.050	0.050	0.050	0.050	0.074	0.716	0.707	0.707	0.708	0.707	0.708	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.709	0.707	0.707	0.746	0.708	0.782	0.733	0.709	0.734	0.731	1.000	0.708	0.718	0.709	0.722	0.774	0.707	0.709	0.733	0.763	0.242	0.707	0.009	0.143	0.707	0.707	0.011	0.382	0.008	0.051	0.031	0.707	0.708	0.707	1.000
IRHH65_2	0.707	0.186	0.013	0.004	0.000	0.000	0.000	0.578	0.113	0.708	0.032	0.707	0.707	0.054	0.028	0.037	0.027	0.054	0.054	0.054	0.054	0.054	0.062	0.582	0.707	0.710	0.707	0.708	0.708	0.707	0.707	0.577	0.707	0.707	0.707	0.707	0.707	0.578	0.710	0.707	0.578	0.710	0.580	0.707	0.840	0.709	0.707	0.708	1.000	0.599	0.708	0.595	0.708	0.832	0.578	0.582	0.708	0.036	0.707	0.000	0.125	0.778	0.578	0.006	0.067	0.000	0.054	0.090	0.580	0.579	0.707	1.000
IRHHSIZ2	0.707	-0.154	0.049	-0.150	-0.067	-0.074	0.059	0.578	0.078	0.718	0.072	0.707	0.707	-0.047	-0.003	0.040	-0.025	-0.059	-0.059	-0.059	-0.059	-0.059	-0.035	0.529	0.707	0.709	0.707	0.708	0.708	0.707	0.707	0.578	0.707	0.707	0.708	0.707	0.707	0.578	0.708	0.707	0.579	0.708	0.125	0.709	0.718	0.708	0.707	0.718	0.599	1.000	0.708	0.707	0.718	0.741	0.578	-0.288	0.714	-0.053	0.707	0.262	0.321	0.729	0.578	0.004	0.137	0.105	-0.081	-0.292	0.579	0.578	0.707	-0.006
IRINSUR4	0.707	0.015	0.050	0.004	0.004	0.003	0.000	0.707	0.089	0.709	0.299	0.707	0.707	0.983	0.069	0.676	0.617	0.418	0.418	0.418	0.418	0.418	0.847	0.713	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.928	0.707	0.707	0.707	0.709	0.722	0.707	0.708	0.707	0.707	0.709	0.708	0.708	1.000	0.707	0.719	0.711	1.000	0.715	0.769	0.031	0.707	0.014	0.118	0.714	0.707	0.009	0.149	0.000	0.051	0.102	0.707	0.707	0.707	1.000
IRKI17_2	0.707	0.108	0.000	0.003	0.006	0.001	0.004	0.577	0.049	0.720	0.088	0.707	0.707	0.026	0.017	0.013	0.029	0.057	0.057	0.057	0.057	0.057	0.033	0.557	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.578	0.707	0.707	0.707	0.707	0.707	0.578	0.708	0.707	0.581	0.708	0.504	0.712	0.720	0.708	0.709	0.722	0.595	0.707	0.707	1.000	0.725	0.733	0.578	0.524	0.713	0.085	0.707	0.000	0.514	0.726	0.577	0.004	0.135	0.000	0.053	0.389	0.578	0.577	0.707	1.000
IRMCDCHP	0.707	0.069	0.012	0.018	0.000	0.000	0.010	0.707	0.081	0.776	0.410	0.707	0.707	0.183	0.078	0.119	0.115	0.090	0.090	0.090	0.090	0.090	0.213	0.731	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.723	0.707	0.707	0.726	0.709	0.759	0.719	0.708	0.725	0.718	0.774	0.708	0.718	0.719	0.725	1.000	0.707	0.723	0.747	0.819	0.167	0.707	0.014	0.111	0.710	0.707	0.016	0.318	0.012	0.051	0.164	0.707	0.707	0.707	1.000
IRMEDICR	0.707	0.231	0.020	0.012	0.000	0.000	0.000	0.708	0.144	0.707	0.036	0.708	0.708	0.103	0.046	0.072	0.065	0.063	0.063	0.063	0.063	0.063	0.119	0.716	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.712	0.711	0.707	0.707	0.711	0.711	0.707	0.809	0.712	0.707	0.707	0.832	0.741	0.711	0.733	0.707	1.000	0.712	0.718	0.708	0.031	0.707	0.003	0.148	0.876	0.708	0.006	0.064	0.006	0.057	0.125	0.713	0.712	0.707	1.000
IROTHHLT	0.708	0.018	0.060	0.006	0.007	0.005	0.000	0.577	0.104	0.709	0.349	0.707	0.707	0.983	0.062	0.677	0.504	0.418	0.418	0.418	0.418	0.418	0.986	0.583	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.577	0.707	0.708	0.707	0.707	0.707	0.813	0.707	0.707	0.577	0.709	0.591	0.707	0.708	0.707	0.707	0.709	0.578	0.578	1.000	0.578	0.723	0.712	1.000	0.585	0.790	0.031	0.708	0.013	0.096	0.777	0.578	0.008	0.127	0.000	0.056	0.117	0.577	0.577	0.707	1.000
IRPINC3	0.707	0.342	-0.073	0.313	-0.012	-0.024	-0.036	0.579	0.130	0.734	-0.297	0.707	0.707	0.070	0.040	-0.043	0.060	0.060	0.060	0.060	0.060	0.060	0.065	0.575	0.707	0.710	0.708	0.708	0.708	0.707	0.707	0.578	0.707	0.708	0.707	0.708	0.707	0.586	0.708	0.708	0.582	0.708	0.366	0.711	0.713	0.713	0.710	0.733	0.582	-0.288	0.715	0.524	0.747	0.718	0.585	1.000	0.749	0.114	0.707	-0.113	0.153	0.714	0.579	-0.005	0.314	-0.310	0.068	0.488	0.578	0.578	0.707	-0.008
IRPRVHLT	0.708	0.034	0.050	0.022	0.004	0.000	0.000	0.708	0.205	0.764	0.699	0.707	0.707	0.421	0.036	0.297	0.265	0.184	0.184	0.184	0.184	0.184	0.492	0.714	0.707	0.709	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.790	0.707	0.707	0.720	0.713	0.785	0.715	0.710	0.720	0.715	0.763	0.708	0.714	0.769	0.713	0.819	0.708	0.790	0.749	1.000	0.136	0.708	0.019	0.112	0.723	0.708	0.009	0.359	0.008	0.051	0.031	0.708	0.708	0.707	1.000
IRWELMOS	0.030	0.058	-0.008	0.220	-0.040	-0.029	-0.021	0.033	0.003	0.303	-0.182	0.030	0.030	0.009	0.032	0.012	0.012	0.001	0.001	0.001	0.001	0.001	0.004	0.084	0.029	0.029	0.032	0.031	0.032	0.032	0.029	0.030	0.030	0.030	0.031	0.030	0.031	0.031	0.029	0.029	0.697	0.034	0.220	0.493	0.040	0.125	0.574	0.242	0.036	-0.053	0.031	0.085	0.167	0.031	0.031	0.114	0.136	1.000	0.030	-0.003	0.058	0.030	0.035	0.001	0.183	-0.185	-0.001	0.010	0.033	0.034	0.030	-0.004
MAIIN102	0.993	0.015	0.000	0.000	0.000	0.000	0.000	0.714	0.000	0.707	0.036	0.707	0.707	0.021	0.019	0.000	0.017	0.046	0.046	0.046	0.046	0.046	0.042	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.708	0.707	0.708	0.030	1.000	0.000	0.109	0.708	0.716	0.013	0.062	0.000	0.051	0.009	0.707	0.707	0.707	1.000
MEDICARE	0.000	-0.262	0.136	0.011	0.162	-0.096	0.123	0.009	0.039	0.010	-0.104	0.000	0.000	-0.127	-0.097	0.064	-0.121	-0.110	-0.110	-0.110	-0.110	-0.110	-0.112	0.015	0.345	0.077	0.201	0.188	0.187	0.214	0.214	0.086	0.178	0.347	0.103	0.326	0.707	0.347	0.087	0.282	0.186	0.000	0.078	0.000	0.000	0.005	0.013	0.009	0.000	0.262	0.014	0.000	0.014	0.003	0.013	-0.113	0.019	-0.003	0.000	1.000	0.139	0.000	0.006	0.002	0.013	-0.028	-0.053	-0.119	0.079	0.080	0.000	-0.007
NRCH17_2	0.109	0.026	0.138	0.106	0.216	0.272	0.178	0.090	0.099	0.137	0.029	0.109	0.109	0.068	0.024	0.050	0.036	0.062	0.062	0.062	0.062	0.062	0.059	0.198	0.207	0.133	0.162	0.156	0.150	0.176	0.183	0.277	0.506	0.146	0.414	0.147	0.176	0.124	0.138	0.153	0.138	0.111	0.082	0.120	0.145	0.111	0.116	0.143	0.125	0.321	0.118	0.514	0.111	0.148	0.096	0.153	0.112	0.058	0.109	0.139	1.000	0.136	0.090	0.000	0.066	0.108	0.054	0.289	0.139	0.138	0.109	0.154
OTHINS	0.708	0.173	0.007	0.007	0.002	0.000	0.000	0.708	0.076	0.707	0.150	0.708	0.708	0.139	0.029	0.095	0.088	0.074	0.074	0.074	0.074	0.074	0.102	0.715	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.711	0.709	0.707	0.707	0.785	0.710	0.707	0.767	0.710	0.707	0.707	0.778	0.729	0.714	0.726	0.710	0.876	0.777	0.714	0.723	0.030	0.708	0.000	0.136	1.000	0.708	0.008	0.061	0.000	0.051	0.121	0.710	0.710	0.707	1.000
PDEN10	0.716	0.066	0.016	0.015	0.000	0.000	0.007	0.845	0.034	0.707	0.025	0.707	0.707	0.022	0.017	0.009	0.018	0.053	0.053	0.053	0.053	0.053	0.031	0.577	0.707	0.708	0.707	0.707	0.707	0.707	0.707	0.577	0.707	0.707	0.707	0.707	0.707	0.578	0.707	0.707	0.577	0.708	0.580	0.707	0.708	0.707	0.707	0.707	0.578	0.578	0.707	0.577	0.707	0.708	0.578	0.579	0.708	0.035	0.716	0.006	0.090	0.708	1.000	0.010	0.059	0.002	0.053	0.022	0.578	0.577	0.707	1.000
PERID	0.014	-0.003	-0.004	-0.014	0.001	0.000	-0.006	0.011	0.000	0.014	0.003	0.011	0.011	0.003	0.005	-0.001	0.001	0.009	0.009	0.009	0.009	0.009	0.002	0.008	0.011	0.010	0.009	0.009	0.009	0.008	0.007	0.008	0.007	0.013	0.008	0.017	0.010	0.010	0.007	0.008	0.009	0.007	-0.007	0.011	0.008	0.013	0.010	0.011	0.006	0.004	0.009	0.004	0.016	0.006	0.008	-0.005	0.009	0.001	0.013	0.002	0.000	0.008	0.010	1.000	0.000	0.004	-0.010	-0.002	0.004	0.007	0.009	-0.003
POVERTY3	0.062	0.058	0.033	0.017	0.008	0.007	0.006	0.058	0.201	0.376	0.354	0.053	0.053	0.193	0.043	0.139	0.089	0.123	0.123	0.123	0.123	0.123	0.198	0.109	0.054	0.068	0.058	0.055	0.059	0.057	0.054	0.048	0.053	0.058	0.057	0.056	0.055	0.125	0.055	0.056	0.154	0.064	0.614	0.156	0.075	0.166	0.150	0.382	0.067	0.137	0.149	0.135	0.318	0.064	0.127	0.314	0.359	0.183	0.062	0.013	0.066	0.061	0.059	0.000	1.000	0.016	0.000	0.054	0.051	0.052	0.054	0.076
PRVHLTIN	0.000	-0.078	0.449	-0.539	0.116	0.080	-0.105	0.007	0.103	0.008	0.946	0.000	0.000	-0.445	-0.090	0.312	-0.402	-0.237	-0.237	-0.237	-0.237	-0.237	-0.483	0.022	0.323	0.084	0.201	0.181	0.191	0.215	0.215	0.070	0.141	0.454	0.084	0.279	0.286	0.454	0.087	0.707	0.188	0.000	-0.471	0.000	0.000	0.000	0.005	0.008	0.000	0.105	0.000	0.000	0.012	0.006	0.000	-0.310	0.008	-0.185	0.000	-0.028	0.108	0.000	0.002	0.004	0.016	1.000	-0.035	-0.029	0.067	0.069	0.000	0.005
PRXRETRY	0.051	0.036	-0.048	-0.029	0.014	-0.014	-0.036	0.055	0.000	0.051	-0.017	0.051	0.051	0.040	0.046	-0.037	0.043	0.090	0.090	0.090	0.090	0.090	0.022	0.051	0.068	0.104	0.115	0.123	0.110	0.106	0.091	0.054	0.051	0.103	0.051	0.094	0.080	0.103	0.052	0.098	0.122	0.051	-0.023	0.051	0.051	0.051	0.051	0.051	0.054	-0.081	0.051	0.053	0.051	0.057	0.056	0.068	0.051	-0.001	0.051	-0.053	0.054	0.051	0.053	-0.010	0.000	-0.035	1.000	-0.057	0.051	0.051	0.051	0.005
PRXYDATA	0.009	0.297	0.098	0.161	0.100	0.024	-0.018	0.016	0.038	0.030	-0.011	0.008	0.008	-0.098	-0.043	0.049	-0.091	-0.033	-0.033	-0.033	-0.033	-0.033	-0.112	0.762	0.013	0.078	0.027	0.037	0.039	0.027	0.023	0.018	0.021	0.025	0.017	0.018	0.021	0.117	0.060	0.022	0.032	0.019	-0.102	0.019	0.056	0.022	0.009	0.031	0.090	-0.292	0.102	0.389	0.164	0.125	0.117	0.488	0.031	0.010	0.009	-0.119	0.289	0.121	0.022	-0.002	0.054	-0.029	-0.057	1.000	0.041	0.017	0.009	0.002
TOOLONG	0.707	0.044	0.077	0.064	0.140	0.170	0.111	0.577	0.023	0.708	0.034	0.707	0.707	0.031	0.014	0.023	0.017	0.060	0.060	0.060	0.060	0.060	0.026	0.578	0.715	0.708	0.710	0.709	0.710	0.712	0.712	0.580	0.731	0.709	0.713	0.710	0.711	0.579	0.709	0.710	0.580	0.707	0.579	0.707	0.710	0.708	0.707	0.707	0.580	0.579	0.707	0.578	0.707	0.713	0.577	0.578	0.708	0.033	0.707	0.079	0.139	0.710	0.578	0.004	0.051	0.067	0.051	0.041	1.000	0.821	0.707	1.000
TROUBUND	0.707	0.026	0.078	0.065	0.140	0.170	0.111	0.577	0.024	0.708	0.038	0.707	0.707	0.023	0.014	0.018	0.013	0.057	0.057	0.057	0.057	0.057	0.020	0.577	0.715	0.708	0.710	0.709	0.710	0.712	0.712	0.580	0.731	0.709	0.713	0.710	0.712	0.579	0.708	0.710	0.580	0.707	0.578	0.707	0.709	0.708	0.707	0.708	0.579	0.578	0.707	0.577	0.707	0.712	0.577	0.578	0.708	0.034	0.707	0.080	0.138	0.710	0.577	0.007	0.052	0.069	0.051	0.017	0.821	1.000	0.707	1.000
VEREP	0.707	0.000	0.000	0.000	0.003	0.000	0.000	0.707	0.005	0.707	0.003	0.707	0.707	0.019	0.017	0.000	0.016	0.046	0.046	0.046	0.046	0.046	0.016	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.030	0.707	0.000	0.109	0.707	0.707	0.009	0.054	0.000	0.051	0.009	0.707	0.707	1.000	1.000
VESTR	1.000	-0.013	-0.000	-0.010	0.002	0.004	0.007	1.000	0.000	1.000	0.005	1.000	1.000	0.001	0.006	0.003	0.004	-0.003	-0.003	-0.003	-0.003	-0.003	0.004	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	-0.016	1.000	1.000	1.000	1.000	1.000	1.000	-0.006	1.000	1.000	1.000	1.000	1.000	-0.008	1.000	-0.004	1.000	-0.007	0.154	1.000	1.000	-0.003	0.076	0.005	0.005	0.002	1.000	1.000	1.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	PERID	IFATHER	NRCH17_2	IRHHSIZ2	IIHHSIZ2	IRKI17_2	IIKI17_2	IRHH65_2	IIHH65_2	PRXRETRY	PRXYDATA	MEDICARE	CAIDCHIP	CHAMPUS	PRVHLTIN	GRPHLTIN	HLTINNOS	HLCNOTYR	HLCNOTMO	HLCLAST	HLLOSRSN	HLNVCOST	HLNVOFFR	HLNVREF	HLNVNEED	HLNVSOR	IRMCDCHP	IIMCDCHP	IRMEDICR	IIMEDICR	IRCHMPUS	IICHMPUS	IRPRVHLT	IIPRVHLT	IROTHHLT	IIOTHHLT	HLCALLFG	HLCALL99	ANYHLTI2	IRINSUR4	IIINSUR4	OTHINS	CELLNOTCL	CELLWRKNG	IRFAMSOC	IIFAMSOC	IRFAMSSI	IIFAMSSI	IRFSTAMP	IIFSTAMP	IRFAMPMT	IIFAMPMT	IRFAMSVC	IIFAMSVC	IRWELMOS	IIWELMOS	IRPINC3	IRFAMIN3	IIPINC3	IIFAMIN3	GOVTPROG	POVERTY3	TOOLONG	TROUBUND	PDEN10	COUTYP2	MAIIN102	AIIND102	ANALWT_C	VESTR	VEREP	Criminal
0	25095143	4	2	4	1	3	1	1	1	99	99	2	1	2	2	99	99	2	99	99	99	99	99	99	99	99	1	1	2	1	2	1	2	1	99	9	98	98	1	1	1	2	1	1	2	1	2	1	1	1	2	1	2	1	99	9	1	4	1	1	1	2	1	2	1	1	2	2	3884.80600	40026	1	0
1	13005143	4	1	3	1	2	1	1	1	99	99	2	2	2	1	1	99	2	99	99	99	99	99	99	99	99	2	1	2	1	2	1	1	1	99	9	98	98	1	1	1	2	1	1	2	1	2	1	1	1	2	1	2	1	99	9	1	1	1	1	1	1	2	2	2	3	2	2	1627.10811	40015	2	1
2	67415143	4	1	2	1	2	1	1	1	99	99	2	1	2	2	99	99	2	99	99	99	99	99	99	99	99	1	1	2	1	2	1	2	1	99	9	98	98	1	1	1	2	2	1	1	1	2	1	1	1	2	1	2	1	99	9	2	2	1	1	1	1	2	2	2	3	2	2	4344.95798	40024	1	0
3	70925143	4	0	2	1	1	1	1	1	99	99	2	2	2	1	1	99	2	99	99	99	99	99	99	99	99	2	1	2	1	2	1	1	1	99	9	98	98	1	1	1	2	1	1	2	1	2	1	2	1	2	1	2	1	99	9	7	7	1	1	2	3	2	2	1	1	2	2	792.52193	40027	1	0
4	75235143	1	0	6	1	4	1	1	1	99	1	2	1	2	2	99	99	2	99	99	99	99	99	99	99	99	1	1	2	1	2	1	2	1	99	9	98	98	1	1	1	2	2	1	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	2	2	2	2	2	1518.11853	40001	2	0
5	47745143	4	0	2	1	1	1	1	1	99	99	2	2	2	2	99	2	99	99	1	1	99	99	99	99	99	2	1	2	1	2	1	2	1	2	1	98	98	2	2	1	2	2	1	2	1	2	1	2	1	2	1	2	1	99	9	2	3	1	1	2	2	2	2	2	3	2	2	9129.22912	40035	2	0
6	33145143	4	3	6	1	4	1	1	1	99	99	2	1	2	2	99	99	2	99	99	99	99	99	99	99	99	1	1	2	1	2	1	2	1	99	9	98	98	1	1	1	2	2	1	2	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	2	2	2	2	6561.89550	40043	2	0
7	63765143	4	2	4	1	3	1	1	1	99	99	2	2	2	2	99	2	99	99	5	99	1	6	6	6	6	2	1	2	1	2	1	2	1	2	1	98	98	2	2	1	2	1	1	2	1	2	1	1	1	2	1	2	1	99	9	1	1	1	1	1	1	2	2	2	2	2	2	3341.71887	40006	2	0
8	57796143	4	1	3	1	2	1	1	1	99	99	2	2	2	2	99	2	99	99	2	2	99	99	99	99	99	2	1	2	1	2	1	2	1	2	1	98	98	2	2	1	2	2	1	2	1	2	1	2	1	2	1	2	1	99	9	1	1	1	3	2	1	2	2	2	1	2	2	3384.14789	40021	2	0
9	66416143	4	0	1	1	1	1	2	1	99	99	1	2	2	1	1	99	2	99	99	99	99	99	99	99	99	2	1	1	1	2	1	1	1	99	9	98	98	1	1	1	1	1	1	1	1	2	1	2	1	2	1	2	1	99	9	6	6	1	1	2	3	2	2	1	1	2	2	2636.94398	40006	1	0

	PERID	IFATHER	NRCH17_2	IRHHSIZ2	IIHHSIZ2	IRKI17_2	IIKI17_2	IRHH65_2	IIHH65_2	PRXRETRY	PRXYDATA	MEDICARE	CAIDCHIP	CHAMPUS	PRVHLTIN	GRPHLTIN	HLTINNOS	HLCNOTYR	HLCNOTMO	HLCLAST	HLLOSRSN	HLNVCOST	HLNVOFFR	HLNVREF	HLNVNEED	HLNVSOR	IRMCDCHP	IIMCDCHP	IRMEDICR	IIMEDICR	IRCHMPUS	IICHMPUS	IRPRVHLT	IIPRVHLT	IROTHHLT	IIOTHHLT	HLCALLFG	HLCALL99	ANYHLTI2	IRINSUR4	IIINSUR4	OTHINS	CELLNOTCL	CELLWRKNG	IRFAMSOC	IIFAMSOC	IRFAMSSI	IIFAMSSI	IRFSTAMP	IIFSTAMP	IRFAMPMT	IIFAMPMT	IRFAMSVC	IIFAMSVC	IRWELMOS	IIWELMOS	IRPINC3	IRFAMIN3	IIPINC3	IIFAMIN3	GOVTPROG	POVERTY3	TOOLONG	TROUBUND	PDEN10	COUTYP2	MAIIN102	AIIND102	ANALWT_C	VESTR	VEREP	Criminal
45708	99193679	1	0	6	1	4	1	1	1	99	99	2	1	2	2	99	99	2	99	99	99	99	99	99	99	99	1	1	2	1	2	1	2	1	99	9	98	98	1	1	1	2	2	1	2	1	2	1	2	1	2	1	2	1	99	9	1	3	1	1	2	1	2	2	2	3	2	2	1966.30161	40001	1	0
45709	23313679	2	0	3	1	3	1	1	1	99	1	2	1	2	1	1	99	2	99	99	99	99	99	99	99	99	1	1	2	1	2	1	1	1	99	9	98	98	1	1	1	2	2	1	2	1	2	1	1	1	2	1	2	1	99	9	2	3	1	1	1	2	2	2	2	3	2	2	516.65918	40023	1	1
45710	90423679	4	1	2	1	2	1	1	1	99	99	2	2	2	1	1	99	2	99	99	99	99	99	99	99	99	2	1	2	1	2	1	1	1	99	9	98	98	1	1	1	2	1	1	1	1	1	1	1	1	2	1	2	1	99	9	2	2	1	1	1	2	2	2	1	1	2	2	7845.35625	40049	2	1
45711	88143679	1	0	3	1	2	1	1	1	99	1	2	2	2	2	99	2	99	99	3	2	99	99	99	99	99	2	1	2	1	2	1	2	1	2	1	98	98	2	2	1	2	2	1	2	1	2	1	2	1	2	1	2	1	99	9	1	4	1	1	2	2	2	2	1	1	2	2	4307.47284	40020	2	0
45712	75253679	4	2	4	1	3	1	1	1	99	99	2	2	2	1	1	99	1	4	99	99	99	99	99	99	99	2	1	2	1	2	1	1	1	99	9	98	98	1	1	1	2	2	1	2	1	2	1	2	1	2	1	2	1	99	9	2	7	1	1	2	3	2	2	2	2	2	2	682.48308	40048	1	0
45713	29663679	4	1	3	1	2	1	1	1	99	99	2	2	2	2	99	2	99	99	5	99	6	6	6	1	6	2	1	2	1	2	1	2	1	2	1	98	98	2	2	1	2	2	1	2	1	2	1	2	1	2	1	2	1	99	9	4	4	1	1	2	2	2	2	2	2	2	2	11212.10696	40011	1	0
45714	43073679	4	0	3	1	1	1	2	1	2	99	1	2	2	2	99	99	2	99	99	99	99	99	99	99	99	2	1	1	1	2	1	2	1	99	9	98	98	1	1	1	1	1	1	1	1	2	1	2	1	2	1	2	1	99	9	2	7	1	3	2	3	2	2	1	1	2	2	5733.23998	40035	2	0
45715	52173679	4	0	6	1	4	1	2	1	99	1	2	2	2	2	99	2	99	99	2	6	99	99	99	99	99	2	1	2	1	2	1	2	1	2	1	98	98	2	2	1	2	1	1	1	1	2	1	2	1	2	1	1	1	12	1	2	6	1	3	1	2	2	2	1	1	2	2	1490.02742	40040	1	0
45716	29283679	4	0	1	1	1	1	1	1	99	99	2	2	2	2	99	1	2	99	99	99	99	99	99	99	99	2	1	2	1	2	1	2	1	1	1	98	98	1	1	1	1	2	1	2	1	2	1	2	1	2	1	2	1	99	9	4	4	1	1	2	3	2	2	2	2	2	2	3847.13742	40050	1	0
45717	87483679	4	0	4	1	1	1	1	1	99	99	2	2	2	1	1	99	2	99	99	99	99	99	99	99	99	2	1	2	1	2	1	1	1	99	9	98	98	1	1	1	2	1	1	2	1	2	1	2	1	2	1	2	1	99	9	6	7	1	1	2	3	2	2	1	1	2	2	11357.79372	40018	2	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)